fbpx
Wikipedia

Misinformation

Misinformation is incorrect or misleading information.[1] It differs from disinformation, which is deliberately deceptive.[2][3][4] Rumors are information not attributed to any particular source,[5] and so are unreliable and often verified, but can turn out to be either true or false. Even if later retracted, misinformation can continue to influence actions and memory.[6] People may be more prone to believe misinformation because they are emotionally connected to what they are listening to or are reading. The role of social media has made information readily available to society at anytime, and it connects vast groups of people along with their information at one time.[7] Advances in technology has impacted the way people communicate information and the way misinformation is spread.[8] Misinformation has impacts on societies' ability to receive information which then influences our communities, politics, and medical field.[7]

History

Early examples include the insults and smears spread among political rivals in Imperial and Renaissance Italy in the form of pasquinades.[9] These are anonymous and witty verses named for the Pasquino piazza and talking statues in Rome. In pre-revolutionary France, "canards", or printed broadsides, sometimes included an engraving to convince readers to take them seriously.

During the summer of 1588, continental Europe anxiously awaited news as the Spanish Armada sailed to fight the English. The Spanish postmaster and Spanish agents in Rome promoted reports of Spanish victory in hopes of convincing Pope Sixtus V to release his promised of one million ducats upon landing of troops. In France, the Spanish and English ambassadors promoted contradictory narratives in the press, and a Spanish victory was incorrectly celebrated in Paris, Prague, and Venice. It was not until late August that reliable reports of the Spanish defeat arrived in major cities and were widely believed; the remains of the fleet returned home in the autumn.[10]

 
A lithograph from the first large scale spread of disinformation in America, the Great Moon Hoax

The first recorded large-scale disinformation campaign was the Great Moon Hoax, published in 1835 in the New York The Sun, in which a series of articles claimed to describe life on the Moon, "complete with illustrations of humanoid bat-creatures and bearded blue unicorns".[11] The challenges of mass-producing news on a short deadline can lead to factual errors and mistakes. An example of such is the Chicago Tribune's infamous 1948 headline "Dewey Defeats Truman".

 
Harry S. Truman displaying the inaccurate Chicago Tribune headline, an example of misinformation.

The advent of the Internet has changed traditional ways that misinformation spreads.[12] During the 2016 United States presidential election, it was seen that content from websites deemed 'untrustworthy' were reaching up to 40% of Americans, despite misinformation making up only 6% of overall news media.[13] Later during the COVID-19 pandemic, both intentional and unintentional misinformation combined with a general lack of literacy regarding health science and medicine was proliferated, creating further misinformation.[14] What makes those susceptible to misinformation is still debated, however.[15]

Identification and correction

According to Anne Mintz, editor of Web of Deception: Misinformation on the Internet, one of the best ways to determine whether the information is factual is to use common sense.[16] Mintz advises that the reader check whether the information makes sense, and to check whether the founders or reporters who are spreading the information are biased or have an agenda. Journalists and researchers look at other sites (particularly verified sources like news channels)[17] for information, as the information is more likely to be reviewed by multiple people or have been heavily researched, providing more reliable details.

Martin Libicki, author of Conquest In Cyberspace: National Security and Information Warfare,[18] noted that readers must balance what is correct or incorrect. Readers cannot be gullible, but also should not be paranoid that all information is incorrect. There is always the chance that even readers who strike this balance will believe an error to be true, or a truth to be an error.

A person's formal education level and media literacy correlates with their ability to recognize misinformation.[19][20] This means if a person is more familiar with the content and process of how the information is researched and presented or is better at critically evaluating information of any source, they are more likely to correctly identify misinformation. Increasing literacy may not lead to improved ability to detect misinformation, as a certain level of literacy could be used to "justify belief in misinformation."[21] Further research reveals that content descriptors can have varying effects on people's ability to detect misinformation.[22]

Based on the work by Scheufele and Krause, misinformation has different social layers that occur at the individual, group and sociostructural levels. At the Individual Root level of misinformation, efforts have sought to focus on the citizen's individual ability to recognize disinformation or misinformation and thus correct their views based on what they received. Hence, the proposed solutions for these cases utilize side of news which range from altering algorithms that find the root of fake news or fact check these different sites. The concern is that having the "inability to recognize misinformation" leads to assumption that all citizens are misinformed and thus unable to discern and logically evaluate information that emerges from social media. What poses the largest threat is "evaluation skill" that is lacking amongst individuals to understand and identify the sources with biased, dated or exploitative sources. Interestingly enough, Pew Research reports shared that approximately one in four American adults admitted to sharing misinformation on their social media platforms. The quality of media literacy is also part of the problem contributing to the individual root level of misinformation. Hence, the call for improving media literacy is a necessity to educate individual citizens on fake news. Other factors that influence misinformation at the individual level is motivations and emotion that influence motivated reasoning processes.[23]

The second root is at the group level. People's social networks have truly changed as the social media environment has evolved. Thus, allowing a different web of social networks to persist allowing individuals to ""selectively disclose"" information which unfortunately is in a biased format. As we all have seen the effects of playing the Telephone Game with a large group of people, the same concept with the beliefs that are most widespread become the most repeated. The problem with debunking misinformation is that this can backfire due to people relying only on the familiar information they had just been exposed to. The problem with the homogenous social groups is that it nurtures a misinformation mindset allowing for falsehood to be accepted since it appears as perhaps a social "norm" due to the decrease in contradictory information. Due to these social networks, it creates "clustering" effect which can end up being "specific rumor variations". These rumor variations lead to beliefs being perceived as more popular than they actually are causing a rumor cascade on these social networks.[23]

The third level of misinformation is the Societal level which is influenced by both the individual and group levels. The common figures associated with misinformation include Politicians as well as other political actors who attempt to shape the public opinion in their favor. The role of the mass media is to be a corrective agent to prevent misinformation to American citizens. Objectivity has been a common thread that American media has lacked being a contributor to the plague of misinformation. As print media evolved into radio, television and now the internet which go hand in hand with paid commercial actors to generate tailored content to attract viewers. The intent is to reach target audiences which has dramatically shifted with examples such as Facebook utilize their sources to have data collection as well as ""profiling"" tools that track each users' preferences for products and allow for ads that are hypertargeted for that viewer. Not only are these hypertargeted ads but they also compete for younger audiences attention on social media which limit the amount of news sources viewed on a daily basis. The condition of our society at this point is quoted best by the Axios cofounder Jim VandeHei who stated that ""Survival...depends on giving readers what they really want, how they want it, when they want it, and on not spending too much money producing what they don't want."" Unfortunately, this is the climate of our culture when it comes to news quality. The change of these news realities are attributed to ""social mega trends"" which have been a huge contributor to the misinformation problem of the United States. In addition, the decline in social capital, political polarization, gap in economic inequalities, decline in trust in science, and how the parties are susceptible also to misinformation.[23]

Cognitive factors

Prior research suggests it can be difficult to undo the effects of misinformation once individuals believe it to be true, and that fact-checking can backfire.[24] Individuals may desire to reach a certain conclusion, causing them to accept information that supports that conclusion. Individuals are more likely to hang onto information and share information if it emotionally resonates with them.[25]

Individuals create mental models and schemas to understand their physical and social environments.[26] Misinformation that becomes incorporated into a mental model, especially for long periods of time, will be more difficult to address as individuals prefer to have a complete mental model.[27] In this instance, it is necessary to correct the misinformation by both refuting it and providing accurate information that can function in the mental model.[24] When attempting to correct misinformation, it is important to consider previous research which has identified effective and ineffective strategies. Simply providing the corrected information is insufficient to correct the effects of misinformation, and it may even have a negative effect. Due to the familiarity heuristic, information that is familiar is more likely to be believed to be true—corrective messages which contain a repetition of the original misinformation may result in an increase in familiarity and cause a backfire effect.[28]

Factors that contribute to the effectiveness of a corrective message include an individual's mental model or worldview, repeated exposure to the misinformation, time between misinformation and correction, credibility of the sources, and relative coherency of the misinformation and corrective message. Corrective messages will be more effective when they are coherent and/or consistent with the audience's worldview. They will be less effective when misinformation is believed to come from a credible source, is repeated prior to correction (even if the repetition occurs in the process of debunking), and/or when there is a time lag between the misinformation exposure and corrective message. Additionally, corrective messages delivered by the original source of the misinformation tend to be more effective.[29]

Countering misinformation

One suggested solution for prevention of misinformation is a distributed consensus mechanism to validate the accuracy of claims, with appropriate flagging or removal of content that is determined to be false or misleading.[27] Another approach is to "inoculate" against it by delivering weakened misinformation that warns of the dangers of the misinformation.[30] This includes counterarguments and showing the techniques used to mislead. One way to apply this is to use parallel argumentation, in which the flawed logic is transferred to a parallel situation (E.g. shared extremity or absurdity). This approach exposes bad logic without the need for complicated explanations.[31]

Flagging or eliminating false statements in media using algorithmic fact checkers is becoming an increasingly common tactic to fight misinformation. Computer programs that automatically detect misinformation are just emerging, but similar algorithms are already in place on Facebook and Google. Google provides supplemental information pointing to fact-checking websites in response to its users searching controversial search terms. Likewise, algorithms detect and alert Facebook users that what they are about to share is likely false.[32]

A common related issue brought up is the over censorship of platforms like Facebook and Twitter.[33] Many free speech activists argue that their voices are not being heard and their rights being taken away.[34] To combat the spread of misinformation, social media platforms are often tasked with finding common ground between allowing free speech, while also not allowing misinformation to be spread throughout their respective platforms.[33]

Websites have been created to help people to discern fact from fiction. For example, the site FactCheck.org aims to fact check the media, especially viral political stories. The site also includes a forum where people can openly ask questions about the information.[35] Similar sites allow individuals to copy and paste misinformation into a search engine and the site will investigate it.[36] Some sites exist to address misinformation about specific topics, such as climate change misinformation. DeSmog, formerly The DeSmogBlog, publishes factually accurate information in order to counter the well-funded disinformation campaigns spread by motivated deniers of climate change. Facebook and Google added automatic fact-checking programs to their sites, and created the option for users to flag information that they think is false.[36] A way that fact-checking programs find misinformation involves analyzing the language and syntax of news stories. Another way is fact-checkers can search for existing information on the subject and compare it to the news broadcasts being put online.[37] Other sites such as Wikipedia and Snopes are also widely used resources for verifying information.

Causes

Historically, people have relied on journalists and other information professionals to relay facts and truths about certain topics.[38] Many different things cause miscommunication, but the underlying factor is information literacy. Because information is distributed by various means, it is often hard for users to ask questions of credibility. Many online sources of misinformation use techniques to fool users into thinking their sites are legitimate and the information they generate is factual. Often, misinformation can be politically motivated.[39] For example, websites such as USConservativeToday.com have posted false information for political and monetary gain.[40] Another role misinformation serves is to distract the public eye from negative information about a given person and/or issues of policy.[32] Aside from political and financial gain, misinformation can also be spread unintentionally. This can cause problems and ignorance in large populations if people don't check what they consume.

Misinformation cited with hyperlinks has been found to increase readers' trust. Trust is shown to be even higher when these hyperlinks are to scientific journals, and higher still when readers do not click on the sources to investigate for themselves.[41] Trusting a source could lead to spreading misinformation unintentionally. A good way to check if something is misinforming is to check sources that are widely agreed to be true, such as college research papers and organizations with no agendas or biases (.org, .edu, and .gov to be specific[citation needed]).

Misinformation is sometimes an unintended side effect of bias. Misguided opinions can lead to the unintentional spread of misinformation, where individuals do not intend on spreading false propaganda, yet the false information they share is not checked and referenced.[42] While that may be the case, there are plenty of instances where information is intentionally skewed, or leaves out major defining details and facts. Misinformation could be misleading rather than outright false.

Research documents "the role political elites play in shaping both news coverage and public opinion around science issues".[43]

Another reason for the recent spread of misinformation may be the lack of consequences. With little to no repercussions, there is nothing to stop people from posting misleading information. The gain they get from the power of influencing other peoples' minds is greater than the impact of a removed post or temporary ban on Twitter. This forces individual companies to be the ones to mandate rules and policies regarding when people's "free speech" impedes other users' quality of life.[44]

Online misinformation

 
The differences between disinformation, misinformation, and malinformation.

Digital and social media can contribute to the spread of misinformation – for instance, when users share information without first checking the legitimacy of the information they have found. People are more likely to encounter online information based on personalized algorithms. Google, Facebook and Yahoo News all generate newsfeeds based on the information they know about our devices, our location, and our online interests. Although two people can search for the same thing at the same time, they are very likely to get different results based on what that platform deems relevant to their interests, fact or false.[45]

An emerging trend in the online information environment is "a shift away from public discourse to private, more ephemeral, messaging", which is a challenge to counter misinformation.[46]

Countermeasures

A report by the Royal Society lists potential or proposed countermeasures:[46]

  • Automated detection systems (e.g. to flag or add context and resources to content)
  • Emerging anti-misinformation sector (e.g. organizations combating scientific misinformation)
  • Provenance enhancing technology (i.e. better enabling people to determine the veracity of a claim, image, or video)
  • APIs for research (i.e. for usage to detect, understand, and counter misinformation)
  • Active bystanders (e.g. corrective commenting)
  • Community moderation (usually of unpaid and untrained, often independent, volunteers)
  • Anti-virals (e.g. limiting the number of times a message can be forwarded in privacy-respecting encrypted chats)
  • Collective intelligence (examples being Wikipedia where multiple editors refine encyclopedic articles, and question-and-answer sites where outputs are also evaluated by others similar to peer-review)
  • Trustworthy institutions and data
  • Media literacy (increasing citizens' ability to use ICTs to find, evaluate, create, and communicate information, an essential skill for citizens of all ages)
    • Media literacy is taught in Estonian public schools – from kindergarten through to high school – since 2010 and "accepted 'as important as [...] writing or reading'"[47]
    • New Jersey mandated K-12 students to learn information literacy[48]
    • "Inoculation" via educational videos shown to adults is being explored[49]

Broadly described, the report recommends building resilience to scientific misinformation and a healthy online information environment and not having offending content removed. It cautions that censorship could e.g. drive misinformation and associated communities "to harder-to-address corners of the internet".[50]

Online misinformation about climate change can be counteracted through different measures at different stages.[51] Prior to misinformation exposure, education and "inoculation" are proposed. Technological solutions, such as early detection of bots and ranking and selection algorithms are suggested as ongoing mechanisms. Post misinformation, corrective and collaborator messaging can be used to counter climate change misinformation. Incorporating fines and similar consequences has also been suggested.

There also is research and development of platform-built-in as well browser-integrated (currently in the form of addons) misinformation mitigation.[52][53][54][55] This includes quality/neutrality/reliability ratings for news sources. Wikipedia's perennial sources page categorizes many large news sources by reliability.[56] Researchers have also demonstrated the feasibility of falsity scores for popular and official figures by developing such for over 800 contemporary elites on Twitter as well as associated exposure scores.[57][58]

The role of social media

In the Information Age, social networking sites have become a notable agent for the spread of misinformation, fake news, and propaganda.[59][20][60][61][62][excessive citations] Misinformation on social media spreads quickly in comparison to traditional media because of the lack of regulation and examination required before posting.[63][64] These sites provide users with the capability to spread information quickly to other users without requiring the permission of a gatekeeper such as an editor, who might otherwise require confirmation of the truth before allowing publication. Journalists today are criticized for helping to spread false information on these social platforms, but research shows they also play a role in curbing it through debunking and denying false rumors.[65][66] During the COVID-19 Pandemic, social media was used as one of the main propagators for spreading misinformation about symptoms, treatments, and long-term health-related problems.[1] This problem has initialized a significant effort in developing automated detection methods for misinformation on social media platforms.[4]

Social media platforms allow for easy spread of misinformation.[67] The specific reasons why misinformation spreads through social media so easily remain unknown.[63] A 2018 study of Twitter determined that, compared to accurate information, false information spread significantly faster, further, deeper, and more broadly.[68] Similarly, a research study of Facebook found that misinformation was more likely to be clicked on than factual information.[69]

Combating misinformation's spread is difficult for three reasons: the profusion of misinformation sources makes the reader's task of weighing the reliability of information more challenging,[70] social media's propensity for culture wars embeds misinformation with identity-based conflict,[71] and the proliferation of echo chambers form an epistemic environment in which participants encounter beliefs and opinions that coincide with their own,[72] moving the entire group toward more extreme positions.[72][71] Echo chambers and filter bubbles come from the inclination of people to follow or support like-minded individuals. With no differing information to counter the untruths or the general agreement within isolated social clusters, some argue the outcome is an absence of a collective reality.[73] Although social media sites have changed their algorithms to prevent the spread of fake news, the problem still exists.[67] Furthermore, research has shown that while people may know what the scientific community has proved as a fact, they may still refuse to accept it as such.[74]

Researchers fear that misinformation in social media is "becoming unstoppable."[67] It has also been observed that misinformation and disinformation reappear on social media sites. A research study watched the process of thirteen rumors appearing on Twitter and noticed that eleven of those same stories resurfaced multiple times, after time had passed.[75]

A social media app called Parler has caused much chaos as well. Right winged Twitter users who were banned on the app moved to Parler after the Capitol Hill riots, and the app was being used to plan and facilitate more illegal and dangerous activities. Google and Apple later pulled the app off their respective app stores. This app has been able to cause a lot of misinformation and bias in the media, allowing for more political mishaps.[76]

Another reason that misinformation spreads on social media is from the users themselves. In a study, it was shown that the most common reasons that Facebook users were sharing misinformation for socially-motivated reasons, rather than taking the information seriously.[77] Although users may not be spreading false information for malicious reasons, the misinformation is still being spread. A research study shows that misinformation introduced through a social format influences individuals drastically more than misinformation delivered non-socially.[78] Facebook's coverage of misinformation has become a hot topic with the spread of COVID-19, as some reports indicated Facebook recommended pages containing health misinformation.[33] For example, this can be seen when a user likes an anti-vax Facebook page. Automatically, more and more anti-vax pages are recommended to the user.[33] Additionally, some reference Facebook's inconsistent censorship of misinformation leading to deaths from COVID-19.[33] Larry Cook, the creator of the "Stop Mandatory Vaccination" organization, made money posting anti-vax false news on social media. He posted more than 150 posts aimed towards woman had over 1.6 million views and earned money on every click and share.[79]

Twitter is one of the most concentrated platforms for engagement with political fake news. 80% of fake news sources are shared by 0.1% of users, who are "super-sharers". Older, more conservative social users are also more likely to interact with fake news.[77] On Facebook, adults older than 65 were seven times more likely to share fake news than adults ages 18–29.[68] Another source of misinformation on Twitter are bot accounts, especially surrounding climate change.[80] Misinformation spread by bots has been difficult for social media platforms to address.[81] Facebook estimated the existence of up to 60 million troll bots actively spreading misinformation on their platform,[82] and has taken measures to stop the spread of misinformation, resulting in a decrease, though misinformation continues to exist on the platform.[67] A research report by NewsGuard found there is a very high level (~20% in their probes of videos about relevant topics) of online misinformation delivered – to a mainly young user base – with TikTok, whose (essentially unregulated) usage is increasing as of 2022.[83][84]

Spontaneous spread of misinformation on social media usually occurs from users sharing posts from friends or mutually-followed pages. These posts are often shared from someone the sharer believes they can trust. Other misinformation is created and spread with malicious intent. Sometimes to cause anxiety, other times to deceive audiences.[85] There are times when rumors are created with malicious intent, but shared by unknowing users.

With the large audiences that can be reached and the experts on various subjects on social media, some believe social media could also be the key to correcting misinformation.[86]

Agent-based models and other computational models have been used by researchers to explain how false beliefs spread through networks. Epistemic network analysis is one example of a computational method for evaluating connections in data shared in a social media network or similar network.[87] In The Misinformation Age: How False Beliefs Spread, a trade book by philosopher Cailin O'Connor and physicist James Owen Weatherall, the authors used a combination of case studies and agent-based models to show how false beliefs spread on social media and scientific networks.[88][89] This book analyses the social nature of scientific research; the nature of information flow between scientists, propagandists, and politicians; and the spread of false beliefs among the general population.[88]

Lack of peer review

 
Promoting more Peer Review to benefit the accuracy in information.

Due to the decentralized nature and structure of the Internet, content creators can easily publish content without being required to undergo peer review, prove their qualifications, or provide backup documentation. While library books have generally been reviewed and edited by an editor, publishing company, etc., Internet sources cannot be assumed to be vetted by anyone other than their authors. Misinformation may be produced, reproduced, and posted immediately on most online platforms.[90]

Censorship accusations

Social media sites such as Facebook and Twitter have found themselves defending accusations of censorship for removing posts they have deemed to be misinformation. Social media censorship policies relying on government agency-issued guidance to determine information validity have garnered criticism that such policies have the unintended effect of stifling dissent and criticism of government positions and policies.[91] Most recently, social media companies have faced criticism over allegedly prematurely censoring the discussion of the SARS-CoV 2 Lab Leak Hypothesis.[91][92]

Other accusations of censorship appear to stem from attempts to prevent social media consumers from self-harm through the use of unproven COVID-19 treatments. For example, in July 2020, a video went viral showing Dr. Stella Immanuel claiming hydroxychloroquine was an effective cure for COVID-19. In the video, Immanuel suggested that there was no need for masks, school closures, or any kind of economic shut down; attesting that her alleged cure was highly effective in treating those infected with the virus. The video was shared 600,000 times and received nearly 20 million views on Facebook before it was taken down for violating community guidelines on spreading misinformation.[93] The video was also taken down on Twitter overnight, but not before former president Donald Trump shared it to his page, which was followed by over 85 million Twitter users. NIAID director Dr. Anthony Fauci and members of the World Health Organization (WHO) quickly discredited the video, citing larger-scale studies of hydroxychloroquine showing it is not an effective treatment of COVID-19, and the FDA cautioned against using it to treat COVID-19 patients following evidence of serious heart problems arising in patients who have taken the drug.[94]

Another prominent example of misinformation removal criticized by some as an example of censorship was the New York Post's report on the Hunter Biden laptops approximately two weeks before the 2020 presidential election, which was used to promote the Biden–Ukraine conspiracy theory. Social media companies quickly removed this report, and the Post's Twitter account was temporarily suspended. Over 50 intelligence officials found the disclosure of emails allegedly belonging to Joe Biden’s son had all the "classic earmarks of a Russian information operation".[95] Later evidence emerged that at least some of the laptop's contents were authentic.[96]

Mass media, trust, and transparency

Competition in news and media

Because news organizations and websites compete for viewers, there is a need for efficiency in releasing stories to the public. The news media landscape in the 1970s offered American consumers access to a limited, but often consistent selection of news offerings, whereas today consumers are confronted with an abundance of voices online. This growth of consumer choice when it comes to news media allows the consumer to choose a news source that may align with their biases, which consequently increases the likelihood that they are misinformed.[32] 47% of Americans reported social media as their main news source in 2017 as opposed to traditional news sources.[97] News media companies often broadcast stories 24 hours a day, and break the latest news in hopes of taking audience share from their competitors. News can also be produced at a pace that does not always allow for fact-checking, or for all of the facts to be collected or released to the media at one time, letting readers or viewers insert their own opinions, and possibly leading to the spread of misinformation.[98]

Inaccurate information from media sources

A Gallup poll made public in 2016 found that only 32% of Americans trust the mass media "to report the news fully, accurately and fairly", the lowest number in the history of that poll.[99] An example of bad information from media sources that led to the spread of misinformation occurred in November 2005, when Chris Hansen on Dateline NBC claimed that law enforcement officials estimate 50,000 predators are online at any moment. Afterward, the U.S. attorney general at the time, Alberto Gonzales, repeated the claim. However, the number that Hansen used in his reporting had no backing. Hansen said he received the information from Dateline expert Ken Lanning, but Lanning admitted that he made up the number 50,000 because there was no solid data on the number. According to Lanning, he used 50,000 because it sounds like a real number, not too big and not too small, and referred to it as a "Goldilocks number". Reporter Carl Bialik says that the number 50,000 is used often in the media to estimate numbers when reporters are unsure of the exact data.[100]

The Novelty Hypothesis, which was created by Soroush Vosoughi, Deb Roy and Sinan Aral when they wanted to learn more about what attracts people to false news. What they discovered was that people are connected through emotion. In their study, they compared false tweets on Twitter that were shared by the total content tweeted, they specifically looked at the users and both the false and true information they shared. They learned that people are connected through their emotions, false rumors suggested more surprise and disgust which got people hooked and that the true rumors attracted more sadness, joy and trust. This study showed which emotions are more likely to cause the spread of false news.[79]

Distrust

Misinformation has often been associated with the concept of fake news, which some scholars define as "fabricated information that mimics news media content in form but not in organizational process or intent."[20] Intentional misinformation, called disinformation, has become normalized in politics and topics of great importance to the public, such as climate change and the COVID-19 pandemic. Intentional misinformation has caused irreversible damage to public understanding and trust.[101] Egelhofer et al. argued that the media's wide adoption of the term “fake news” has served to normalize this concept and help to stabilize the use of this buzzword in our everyday language (2021).[102] Goldstein (2021) discussed the need for government agencies and organizations to increase transparency of their practices or services by using social media. Companies can then utilize the platforms offered by social media and bring forth full transparency to the public. If used in strategic ways, social media can offer an agency or agenda (ex: political campaigns or vaccines) a way to connect with the public and offer a place for people to track news and developments.

Despite many popular examples being from the US, misinformation is prevalent worldwide. In the United Kingdom, many people followed and believed a conspiracy theory that Coronavirus was linked to the 5G network,[103] a popular idea that arose from a series of hashtags on Twitter.

Misinformation can also be used to deflect accountability. For example, Syria's repeated use of chemical weapons was the subject of a disinformation campaign intended to prevent accountability [cite Steward, M. (2021).[103] In his paper Defending Weapons Inspections from the Effects of Disinformation, Stewart shows how disinformation was used to conceal and purposely misinform the public about Syria's violations of international law. The intention was to create plausible deniability of the violations, making discussion of possible violations to be regarded as untruthful rumors. Because the disinformation campaigns have been so effective and normalized, the opposing side has also started relying on disinformation to prevent repercussions for unfavorable behavior from those pushing a counter narrative.

According to Melanie Freeze (Freeze et al., 2020), in most cases the damage of misinformation can be irreparable.[103] Freeze explored whether people can recollect an event accurately when presented with misinformation after the event occurred. Findings showed that an individual's recollection of political events could be altered when presented with misinformation about the event. This study also found that if one is able to identify warning signs of misinformation, they still have a hard time retaining the pieces of information which are accurate vs inaccurate. Furthermore, their results showed that people can completely discard accurate information if they incorrectly deem a news source as “fake news” or untrustworthy and potentially disregard completely credible information. Alyt Damstra (Damstra et al., 2021) states that misinformation has been around since the establishment of press, thus leaving little room to wonder how it has been normalized today.[104]

Alexander Lanoszka (2019)[105] argued that fake news does not have to be looked at as an unwinnable war. Misinformation can create a sense of societal chaos and anarchy. With deep mistrust, no single idea can successfully move forward. With the existence of malicious efforts to misinform, desired progress may rely on trust in people and their processes.

Misinformation was a major talking point during the 2016 American Presidential Election with claims of social media sites allowing "fake news" to be spread.[34] It has been found that exposure to misinformation is associated with an overall rise in political trust by those siding with the government in power or those who self-define as politically moderate.[106] Social media became polarized and political during the 2020 United States Presidential Election, with some arguing that misinformation about COVID-19 had been circulating, creating skepticism of topics such as vaccines and figures such as Dr. Fauci. Others argued that platforms such as Facebook had been unconstitutionally censoring conservative voices, spreading misinformation to persuade voters.[34]

Polarization on social media platforms has caused people to question the source of their information. Skepticism in news platforms created a large distrust of the news media. Often, misinformation is blended to seem true.[44] Misinformation does not simply imply false information. Social media platforms can be an easy place to skew and manipulate facts to show a different view on a topic, often trying to paint a bad picture of events.[107][42]

Impact

Misinformation can affect all aspects of life. Allcott, Gentzkow, and Yu concur that the diffusion of misinformation through social media is a potential threat to democracy and broader society. The effects of misinformation can lead to decline of accuracy of information as well as event details.[108] When eavesdropping on conversations, one can gather facts that may not always be true, or the receiver may hear the message incorrectly and spread the information to others. On the Internet, one can read content that is stated to be factual but that may not have been checked or may be erroneous. In the news, companies may emphasize the speed at which they receive and send information but may not always be correct in the facts. These developments contribute to the way misinformation may continue to complicate the public's understanding of issues and to serve as a source for belief and attitude formation.[109]

In regards to politics, some view being a misinformed citizen as worse than being an uninformed citizen. Misinformed citizens can state their beliefs and opinions with confidence and thus affect elections and policies. This type of misinformation occurs when a speaker appears "authoritative and legitimate", while also spreading misinformation.[59] When information is presented as vague, ambiguous, sarcastic, or partial, receivers are forced to piece the information together and make assumptions about what is correct.[110] Misinformation has the power to sway public elections and referendums if it gains enough momentum. Leading up to the 2016 United Kingdom European Union membership referendum, for example, a figure widely circulated by the Vote Leave campaign claimed the UK would save £350 million a week by leaving the EU, and that the money would be redistributed to the British National Health Service. This was later deemed a "clear misuse of official statistics" by the UK statistics authority. The advert infamously shown on the side of London's double-decker busses did not take into account the UK's budget rebate, and the idea that 100% of the money saved would go to the NHS was unrealistic. A poll published in 2016 by Ipsos MORI found that nearly half of the British public believed this misinformation to be true.[111] Even when information is proven to be misinformation, it may continue to shape attitudes towards a given topic,[99] meaning it has the power to swing political decisions if it gains enough traction. A study conducted by Soroush Vosoughi, Deb Roy and Sinan Aral looked at Twitter data including 126,000 posts spread by 3 million people over 4.5 million times. They found that political news traveled faster than any other type of information. They found that false news about politics reached more than 20,000 people three times faster than all other types of false news.[79]

Aside from political propaganda, misinformation can also be employed in industrial propaganda. Using tools such as advertising, a company can undermine reliable evidence or influence belief through a concerted misinformation campaign. For instance, tobacco companies employed misinformation in the second half of the twentieth century to diminish the reliability of studies that demonstrated the link between smoking and lung cancer.[112]

In the medical field, misinformation can immediately lead to life endangerment as seen in the case of the public's negative perception towards vaccines or the use of herbs instead of medicines to treat diseases.[59][113] In regards to the COVID-19 pandemic, the spread of misinformation has proven to cause confusion as well as negative emotions such as anxiety and fear.[114][115] Misinformation regarding proper safety measures for the prevention of the virus that go against information from legitimate institutions like the World Health Organization can also lead to inadequate protection and possibly place individuals at risk for exposure.[114][116]

Some scholars and activists are heading movements to eliminate the mis/disinformation and information pollution in the digital world. One theory, "information environmentalism," has become a curriculum in some universities and colleges.[117][118] The general study of misinformation and disinformation is by now also common across various academic disciplines, including sociology, communication, computer science, and political science, leading to the emerging field being described loosely as "Misinformation and Disinformation Studies".[119] However, various scholars and journalists have criticised this development, pointing to problematic normative assumptions, a varying quality of output and lack of methodological rigor, as well as a too strong impact of mis- and disinformation research in shaping public opinion and policymaking.[120][121] Summarising the most frequent points of critique, communication scholars Chico Camargo and Felix Simon wrote in an article for the Harvard Kennedy School Misinformation Review that "mis-/disinformation studies has been accused of lacking clear definitions, having a simplified understanding of what it studies, a too great emphasis on media effects, a neglect of intersectional factors, an outsized influence of funding bodies and policymakers on the research agenda of the field, and an outsized impact of the field on policy and policymaking."[122]

See also

References

  1. ^ a b Merriam-Webster Dictionary (19 August 2020). "Misinformation". Retrieved 19 August 2020.
  2. ^ Merriam-Webster Dictionary (19 August 2020). "Disinformation". Merriam-Webster. Retrieved 19 August 2020.
  3. ^ Woolley, Samuel C.; Howard, Philip N. (2016). "Political Communication, Computational Propaganda, and Autonomous Agents". International Journal of Communication. 10: 4882–4890. from the original on 2019-10-22. Retrieved 2019-10-22.
  4. ^ a b Caramancion, Kevin Matthe (2020). "An Exploration of Disinformation as a Cybersecurity Threat". 2020 3rd International Conference on Information and Computer Technologies (ICICT). pp. 440–444. doi:10.1109/icict50521.2020.00076. ISBN 978-1-7281-7283-5. S2CID 218651389.
  5. ^ Merriam-Webster Dictionary – rumor
  6. ^ Ecker, Ullrich K.H.; Lewandowsky, Stephan; Cheung, Candy S.C.; Maybery, Murray T. (November 2015). "He did it! She did it! No, she did not! Multiple causal explanations and the continued influence of misinformation" (PDF). Journal of Memory and Language. 85: 101–115. doi:10.1016/j.jml.2015.09.002.
  7. ^ a b Aral, Sinan (2020). The hype machine : how social media disrupts our elections, our economy, and our health--and how we must adapt (First ed.). New York. ISBN 978-0-525-57451-4. OCLC 1155486056.[page needed]
  8. ^ Lewandowsky, Stephan; Ecker, Ullrich K. H.; Seifert, Colleen M.; Schwarz, Norbert; Cook, John (2012). "Misinformation and Its Correction: Continued Influence and Successful Debiasing". Psychological Science in the Public Interest. 13 (3): 106–131. doi:10.1177/1529100612451018. JSTOR 23484653. PMID 26173286. S2CID 42633.
  9. ^ "The True History of Fake News". The New York Review of Books. 2017-02-13. from the original on 2019-02-05. Retrieved 2019-02-24.
  10. ^ Andrew Pettegree (2015). The Invention of News. Yale University Press. pp. 153–4. ISBN 978-0-300-21276-1.
  11. ^ "A short guide to the history of 'fake news' and disinformation". International Center for Journalists. from the original on 2019-02-25. Retrieved 2019-02-24.
  12. ^ Godfrey-Smith, Peter (December 1989). "Misinformation". Canadian Journal of Philosophy. 19 (4): 533–550. doi:10.1080/00455091.1989.10716781. ISSN 0045-5091. S2CID 246637810.
  13. ^ West, Jevin D.; Bergstrom, Carl T. (2021-04-13). "Misinformation in and about science". Proceedings of the National Academy of Sciences. 118 (15): e1912444117. Bibcode:2021PNAS..11812444W. doi:10.1073/pnas.1912444117. ISSN 0027-8424. PMC 8054004. PMID 33837146.
  14. ^ Swire-Thompson, Briony; Lazer, David (2020-04-02). "Public Health and Online Misinformation: Challenges and Recommendations". Annual Review of Public Health. 41 (1): 433–451. doi:10.1146/annurev-publhealth-040119-094127. ISSN 0163-7525. PMID 31874069.
  15. ^ Jerit, Jennifer; Zhao, Yangzi (2020-05-11). "Political Misinformation". Annual Review of Political Science. 23 (1): 77–94. doi:10.1146/annurev-polisci-050718-032814. ISSN 1094-2939. S2CID 212733536.
  16. ^ Mintz, Anne. "The Misinformation Superhighway?". PBS. from the original on 2 April 2013. Retrieved 26 February 2013.
  17. ^ Jain, Suchita; Sharma, Vanya; Kaushal, Rishabh (2016). "Towards automated real-time detection of misinformation on Twitter". 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). pp. 2015–2020. doi:10.1109/ICACCI.2016.7732347. ISBN 978-1-5090-2029-4. S2CID 17767475.
  18. ^ Libicki, Martin (2007). Conquest in Cyberspace: National Security and Information Warfare. New York: Cambridge University Press. pp. 51–55. ISBN 978-0521871600.
  19. ^ Khan, M. Laeeq; Idris, Ika Karlina (2 December 2019). "Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective". Behaviour & Information Technology. 38 (12): 1194–1212. doi:10.1080/0144929x.2019.1578828. S2CID 86681742.
  20. ^ a b c Lazer, David M. J.; Baum, Matthew A.; Benkler, Yochai; Berinsky, Adam J.; Greenhill, Kelly M.; Menczer, Filippo; Metzger, Miriam J.; Nyhan, Brendan; Pennycook, Gordon; Rothschild, David; Schudson, Michael; Sloman, Steven A.; Sunstein, Cass R.; Thorson, Emily A.; Watts, Duncan J.; Zittrain, Jonathan L. (2018). "The science of fake news". Science. 359 (6380): 1094–1096. Bibcode:2018Sci...359.1094L. doi:10.1126/science.aao2998. PMID 29590025. S2CID 4410672.
  21. ^ Vraga, Emily K.; Bode, Leticia (December 2017). "Leveraging institutions, educators, and networks to correct misinformation: A commentary on Lewandosky, Ecker, and Cook". Journal of Applied Research in Memory and Cognition. 6 (4): 382–388. doi:10.1016/j.jarmac.2017.09.008.
  22. ^ Caramancion, Kevin Matthe (2020). "Understanding the Impact of Contextual Clues in Misinformation Detection". 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). pp. 1–6. doi:10.1109/IEMTRONICS51293.2020.9216394. ISBN 978-1-7281-9615-2. S2CID 222297695.
  23. ^ a b c Scheufele, Dietram; Krause, Nicole (April 16, 2019). "Science audiences, misinformation, and fake news". Proceedings of the National Academy of Sciences. 116 (16): 7662–7669. Bibcode:2019PNAS..116.7662S. doi:10.1073/pnas.1805871115. PMC 6475373. PMID 30642953.
  24. ^ a b Ecker, Ullrich K. H.; Lewandowsky, Stephan; Chadwick, Matthew (2020-04-22). "Can Corrections Spread Misinformation to New Audiences? Testing for the Elusive Familiarity Backfire Effect". Cognitive Research: Principles and Implications. 5 (1): 41. doi:10.31219/osf.io/et4p3. hdl:1983/0d5feec2-5878-4af6-b5c7-fbbd398dd4c4. PMC 7447737. PMID 32844338.
  25. ^ Lewandowsky, Stephan; Ecker, Ullrich K. H.; Seifert, Colleen M.; Schwarz, Norbert; Cook, John (2012). "Misinformation and Its Correction: Continued Influence and Successful Debiasing". Psychological Science in the Public Interest. 13 (3): 106–131. doi:10.1177/1529100612451018. JSTOR 23484653. PMID 26173286. S2CID 42633.
  26. ^ Busselle, Rick (2017). "Schema Theory and Mental Models". The International Encyclopedia of Media Effects. pp. 1–8. doi:10.1002/9781118783764.wbieme0079. ISBN 978-1-118-78404-4.
  27. ^ a b Plaza, Mateusz; Paladino, Lorenzo (2019). "The use of distributed consensus algorithms to curtail the spread of medical misinformation". International Journal of Academic Medicine. 5 (2): 93–96. doi:10.4103/IJAM.IJAM_47_19. S2CID 201803407.
  28. ^ "Supplemental Material for The Role of Familiarity in Correcting Inaccurate Information". Journal of Experimental Psychology: Learning, Memory, and Cognition: xlm0000422.supp. 2017. doi:10.1037/xlm0000422.supp.
  29. ^ Walter, Nathan; Tukachinsky, Riva (March 2020). "A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It?". Communication Research. 47 (2): 155–177. doi:10.1177/0093650219854600. S2CID 197731687.
  30. ^ Cook, John; Ellerton, Peter; Kinkead, David (1 February 2018). "Deconstructing climate misinformation to identify reasoning errors". Environmental Research Letters. 13 (2): 024018. Bibcode:2018ERL....13b4018C. doi:10.1088/1748-9326/aaa49f. S2CID 149353744.
  31. ^ Cook, John (May–June 2020). . Skeptical Inquirer. Vol. 44, no. 3. Amherst, New York: Center for Inquiry. pp. 38–41. Archived from the original on 31 December 2020. Retrieved 31 December 2020.
  32. ^ a b c Lewandowsky, Stephan; Ecker, Ullrich K. H.; Cook, John (December 2017). "Beyond misinformation: Understanding and coping with the 'post-truth' era" (PDF). Journal of Applied Research in Memory and Cognition. 6 (4): 353–369. doi:10.1016/j.jarmac.2017.07.008. hdl:1983/1b4da4f3-009d-4287-8e45-a0a1d7b688f7. S2CID 149003083.
  33. ^ a b c d e Griffith, Chris (21 July 2021). "Facebook exposed over its handling of COVID misinformation". The Australian. Canberra. ProQuest 2553642687.
  34. ^ a b c Brosnan, Deanne (13 January 2021). "When Misinformation is Misinformation". CE Think Tank Newswire. Miami. ProQuest 2477885938.
  35. ^ "Ask FactCheck". www.factcheck.org. from the original on 2016-03-31. Retrieved 2016-03-31.
  36. ^ a b Fernandez, Miriam; Alani, Harith (2018). "Online Misinformation". Companion of the Web Conference 2018 on the Web Conference 2018 - WWW '18. pp. 595–602. doi:10.1145/3184558.3188730. ISBN 978-1-4503-5640-4. S2CID 13799324.
  37. ^ Zhang, Chaowei; Gupta, Ashish; Kauten, Christian; Deokar, Amit V.; Qin, Xiao (December 2019). "Detecting fake news for reducing misinformation risks using analytics approaches". European Journal of Operational Research. 279 (3): 1036–1052. doi:10.1016/j.ejor.2019.06.022. S2CID 197492100.
  38. ^ "Web of Deception: Misinformation on the Internet". The Electronic Library. 20 (6): 521. 1 December 2002. doi:10.1108/el.2002.20.6.521.7.
  39. ^ Conspiracy theories have long lurked in the background of American history, said Dustin Carnahan, a Michigan State University professor who studies political misinformation: Conspiracy theories paint fraudulent reality of Jan. 6 riot, By DAVID KLEPPER, AP news, 1 January 2022.
  40. ^ Marwick, Alice E. (2013). "Online Identity". A Companion to New Media Dynamics. pp. 355–364. doi:10.1002/9781118321607.ch23. ISBN 978-1-118-32160-7.
  41. ^ Verma, Nitin; Fleischmann, Kenneth R.; Koltai, Kolina S. (January 2017). "Human values and trust in scientific journals, the mainstream media and fake news". Proceedings of the Association for Information Science and Technology. 54 (1): 426–435. doi:10.1002/pra2.2017.14505401046. S2CID 51958978.
  42. ^ a b Chen, Xinran; Sin, Sei-Ching Joanna (2013). "'Misinformation? What of it?' Motivations and individual differences in misinformation sharing on social media: 'Misinformation? What of it?' Motivations and Individual Differences in Misinformation Sharing on Social Media". Proceedings of the American Society for Information Science and Technology. 50 (1): 1–4. doi:10.1002/meet.14505001102.
  43. ^ "Literature Review: Echo chambers, filter bubbles and polarization" (PDF). Retrieved 21 February 2022.
  44. ^ a b Harford, Tim (25 May 2013). "Misinformation can be Beautiful Too: The Undercover Economist". Financial Times. London. p. 60. ProQuest 1355300828.
  45. ^ Beware online "filter bubbles" | Eli Pariser, retrieved 2022-02-09
  46. ^ a b The online information environment: Understanding how the internet shapes people's engagement with scientific information (PDF). The Royal Society. January 2022. ISBN 978-1-78252-567-7. Retrieved 21 February 2022.
  47. ^ Yee, Amy. "The country inoculating against disinformation". BBC. Retrieved 21 February 2022.
  48. ^ Sitrin, Carly. "New Jersey becomes first state to mandate K-12 students learn information literacy". POLITICO. Retrieved 9 January 2023.
  49. ^ Roozenbeek, Jon; van der Linden, Sander; Goldberg, Beth; Rathje, Steve; Lewandowsky, Stephan (26 August 2022). "Psychological inoculation improves resilience against misinformation on social media". Science Advances. 8 (34): eabo6254. Bibcode:2022SciA....8O6254R. doi:10.1126/sciadv.abo6254. ISSN 2375-2548. PMC 9401631. PMID 36001675.
  50. ^ "Royal Society cautions against censorship of scientific misinformation online". The Royal Society. Retrieved 12 February 2022.
  51. ^ Treen, Kathie M. d'I.; Williams, Hywel T. P.; O'Neill, Saffron J. (September 2020). "Online misinformation about climate change". WIREs Climate Change. 11 (5). doi:10.1002/wcc.665. S2CID 221879878.
  52. ^ Zewe, Adam. "Empowering social media users to assess content helps fight misinformation". Massachusetts Institute of Technology via techxplore.com. Retrieved 18 December 2022.
  53. ^ Jahanbakhsh, Farnaz; Zhang, Amy X.; Karger, David R. (11 November 2022). "Leveraging Structured Trusted-Peer Assessments to Combat Misinformation". Proceedings of the ACM on Human-Computer Interaction. 6 (CSCW2): 524:1–524:40. doi:10.1145/3555637.
  54. ^ Elliott, Matt. "Fake news spotter: How to enable Microsoft Edge's NewsGuard". CNET. Retrieved 9 January 2023.
  55. ^ "12 Browser Extensions to Help You Detect and Avoid Fake News". The Trusted Web. 18 March 2021. Retrieved 9 January 2023.
  56. ^ Darcy, Oliver (24 July 2020). "Wikipedia administrators caution editors about using Fox News as source on 'contentious' claims | CNN Business". CNN. Retrieved 9 January 2023.
  57. ^ "New MIT Sloan research measures exposure to misinformation from political elites on Twitter". AP NEWS. 29 November 2022. Retrieved 18 December 2022.
  58. ^ Mosleh, Mohsen; Rand, David G. (21 November 2022). "Measuring exposure to misinformation from political elites on Twitter". Nature Communications. 13 (1): 7144. Bibcode:2022NatCo..13.7144M. doi:10.1038/s41467-022-34769-6. ISSN 2041-1723. PMC 9681735. PMID 36414634.
  59. ^ a b c Stawicki, Stanislaw P.; Firstenberg, Michael S.; Papadimos, Thomas J. (2020). "The Growing Role of Social Media in International Health Security: The Good, the Bad, and the Ugly". Global Health Security. Advanced Sciences and Technologies for Security Applications. pp. 341–357. doi:10.1007/978-3-030-23491-1_14. ISBN 978-3-030-23490-4. S2CID 212995901.
  60. ^ Vosoughi, Soroush; Roy, Deb; Aral, Sinan (9 March 2018). "The spread of true and false news online". Science. 359 (6380): 1146–1151. Bibcode:2018Sci...359.1146V. doi:10.1126/science.aap9559. PMID 29590045. S2CID 4549072.
  61. ^ Tucker, Joshua A.; Guess, Andrew; Barbera, Pablo; Vaccari, Cristian; Siegel, Alexandra; Sanovich, Sergey; Stukal, Denis; Nyhan, Brendan. "Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature". Hewlett Foundation White Paper. from the original on 2019-03-06. Retrieved 2019-03-05.
  62. ^ Machado, Caio; Kira, Beatriz; Narayanan, Vidya; Kollanyi, Bence; Howard, Philip (2019). "A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections". Companion Proceedings of the 2019 World Wide Web Conference. pp. 1013–1019. doi:10.1145/3308560.3316738. ISBN 978-1-4503-6675-5. S2CID 153314118.
  63. ^ a b Chen, Xinran; Sin, Sei-Ching Joanna; Theng, Yin-Leng; Lee, Chei Sian (September 2015). "Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-level Differences". The Journal of Academic Librarianship. 41 (5): 583–592. doi:10.1016/j.acalib.2015.07.003.
  64. ^ Caramancion, Kevin Matthe (2021). "The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis". Computational Data and Social Networks. Lecture Notes in Computer Science. Vol. 13116. pp. 319–329. doi:10.1007/978-3-030-91434-9_28. ISBN 978-3-030-91433-2. S2CID 244890285.
  65. ^ Starbird, Kate; Dailey, Dharma; Mohamed, Owla; Lee, Gina; Spiro, Emma S. (19 April 2018). "Engage Early, Correct More: How Journalists Participate in False Rumors Online during Crisis Events". Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems: 1–12. doi:10.1145/3173574.3173679. S2CID 5046314.
  66. ^ Arif, Ahmer; Robinson, John J.; Stanek, Stephanie A.; Fichet, Elodie S.; Townsend, Paul; Worku, Zena; Starbird, Kate (2017). "A Closer Look at the Self-Correcting Crowd". Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. pp. 155–168. doi:10.1145/2998181.2998294. ISBN 978-1-4503-4335-0. S2CID 15167363.
  67. ^ a b c d Allcott, Hunt; Gentzkow, Matthew; Yu, Chuan (April 2019). "Trends in the diffusion of misinformation on social media". Research & Politics. 6 (2): 205316801984855. doi:10.1177/2053168019848554. S2CID 52291737.
  68. ^ a b Swire-Thompson, Briony; Lazer, David (2 April 2020). "Public Health and Online Misinformation: Challenges and Recommendations". Annual Review of Public Health. 41 (1): 433–451. doi:10.1146/annurev-publhealth-040119-094127. PMID 31874069.
  69. ^ Dwoskin, Elizabeth. "Misinformation on Facebook got six times more clicks than factual news during the 2020 election, study says". The Washington Post.{{cite news}}: CS1 maint: url-status (link)
  70. ^ Messerole, Chris (2018-05-09). "How misinformation spreads on social media – And what to do about it". Brookings Institution. from the original on 25 February 2019. Retrieved 24 February 2019.
  71. ^ a b Diaz Ruiz, Carlos; Nilsson, Tomas (2022-08-08). "Disinformation and Echo Chambers: How Disinformation Circulates on Social Media Through Identity-Driven Controversies". Journal of Public Policy & Marketing. 42: 18–35. doi:10.1177/07439156221103852. ISSN 0743-9156.
  72. ^ a b Nguyen, C. Thi (2020). "Echo Chambers and Epistemic Bubbles". Episteme. 17 (2): 141–161. doi:10.1017/epi.2018.32. ISSN 1742-3600. S2CID 171520109.
  73. ^ Benkler, Y. (2017). "Study: Breitbart-led rightwing media ecosystem altered broader media agenda". from the original on 4 June 2018. Retrieved 8 June 2018.
  74. ^ Scheufele, Dietram A.; Krause, Nicole M. (16 April 2019). "Science audiences, misinformation, and fake news". Proceedings of the National Academy of Sciences. 116 (16): 7662–7669. Bibcode:2019PNAS..116.7662S. doi:10.1073/pnas.1805871115. PMC 6475373. PMID 30642953.
  75. ^ Shin, Jieun; Jian, Lian; Driscoll, Kevin; Bar, François (June 2018). "The diffusion of misinformation on social media: Temporal pattern, message, and source". Computers in Human Behavior. 83: 278–287. doi:10.1016/j.chb.2018.02.008. S2CID 41956979.
  76. ^ "Amazon to suspend Parler after deadly Capitol Hill riot". Al Jazeera. 10 January 2021.
  77. ^ a b Chen, Xinran; Sin, Sei-Ching Joanna; Theng, Yin-Leng; Lee, Chei Sian (2015). "Why do Social Media Users Share Misinformation?". Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 111–114. doi:10.1145/2756406.2756941. ISBN 978-1-4503-3594-2. S2CID 15983217.
  78. ^ Gabbert, Fiona; Memon, Amina; Allan, Kevin; Wright, Daniel B. (September 2004). "Say it to my face: Examining the effects of socially encountered misinformation". Legal and Criminological Psychology. 9 (2): 215–227. doi:10.1348/1355325041719428. S2CID 144823646.
  79. ^ a b c Aral, Sinan (2020). The hype machine : how social media disrupts our elections, our economy, and our health--and how we must adapt (First ed.). New York. ISBN 978-0-525-57451-4. OCLC 1155486056.[page needed]
  80. ^ "Revealed: a quarter of all tweets about climate crisis produced by bots". The Guardian. 2020-02-21. Retrieved 2021-04-20.
  81. ^ Milman, Oliver (2020-02-21). "Revealed: quarter of all tweets about climate crisis produced by bots". The Guardian. from the original on 2020-02-22. Retrieved 2020-02-23.
  82. ^ Iyengar, Shanto; Massey, Douglas S. (16 April 2019). "Scientific communication in a post-truth society". Proceedings of the National Academy of Sciences. 116 (16): 7656–7661. Bibcode:2019PNAS..116.7656I. doi:10.1073/pnas.1805868115. PMC 6475392. PMID 30478050.
  83. ^ Tucker, Emma (18 September 2022). "TikTok's search engine repeatedly delivers misinformation to its majority-young user base, report says | CNN Business". CNN. Retrieved 19 October 2022.
  84. ^ "Misinformation Monitor: September 2022". NewsGuard. Retrieved 19 October 2022.
  85. ^ Thai, My T.; Wu, Weili; Xiong, Hui (2016-12-01). Big Data in Complex and Social Networks. CRC Press. ISBN 978-1-315-39669-9.
  86. ^ Bode, Leticia; Vraga, Emily K. (2 September 2018). "See Something, Say Something: Correction of Global Health Misinformation on Social Media". Health Communication. 33 (9): 1131–1140. doi:10.1080/10410236.2017.1331312. PMID 28622038. S2CID 205698884.
  87. ^ Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. (2016). "A tutorial on epistemic network analysis: Analysing the structural connections in cognitive, social and interaction data". Journal of Learning Analytics. 3 (3): 9–45. doi:10.18608/jla.2016.33.3. ERIC EJ1126800.
  88. ^ a b Cailin, O'Connor; Weatherall, James Owen (2019). The Misinformation Age: How False Beliefs Spread. New Haven, CT, USA: Yale University Press. ISBN 9780300234015. Retrieved 31 January 2022.
  89. ^ Valković, Martina (November 2020). "Review of "The Misinformation Age: How False Beliefs Spread."". Philosophy in Review. 40 (4). doi:10.7202/1074030ar. S2CID 229478320. Retrieved 31 January 2022.
  90. ^ Stapleton, Paul (2003). "Assessing the quality and bias of web-based sources: implications for academic writing". Journal of English for Academic Purposes. 2 (3): 229–245. doi:10.1016/S1475-1585(03)00026-2.
  91. ^ a b "Facebook's Lab-Leak About-Face". WSJ.{{cite news}}: CS1 maint: url-status (link)
  92. ^ "Covid origin: Why the Wuhan lab-leak theory is being taken seriously". BBC News. 27 May 2021.{{cite news}}: CS1 maint: url-status (link)
  93. ^ "Hydroxychloroquine: Why a video promoted by Trump was pulled on social media". BBC News. 2020-07-28. Retrieved 2021-11-24.
  94. ^ "Stella Immanuel - the doctor behind unproven coronavirus cure claim". BBC News. 2020-07-29. Retrieved 2020-11-23.
  95. ^ Bertrand, Natasha (October 19, 2020). "Hunter Biden story is Russian disinfo, dozens of former intel officials say". Politico. from the original on October 20, 2020. Retrieved October 20, 2020.
  96. ^ Lizza, Ryan (September 21, 2021). "POLITICO Playbook: Double Trouble for Biden". Politico.
  97. ^ Shearer, Elisa; Gottfried, Jeffrey (2017-09-07). "News Use Across Social Media Platforms 2017". Pew Research Center's Journalism Project. Retrieved 2021-03-28.
  98. ^ Croteau, David; Hoynes, William; Milan, Stefania. "Media Technology" (PDF). Media Society: Industries, Images, and Audiences. pp. 285–321. (PDF) from the original on January 2, 2013. Retrieved March 21, 2013.
  99. ^ a b Marwick, Alice; Lewis, Rebecca (2017). Media Manipulation and Disinformation Online. New York: Data & Society Research Institute. pp. 40–45.
  100. ^ Gladstone, Brooke (2012). The Influencing Machine. New York: W. W. Norton & Company. pp. 49–51. ISBN 978-0393342468.
  101. ^ Goldstein, Neal D. (February 2021). "Misinformation". American Journal of Public Health. 111 (2): e3–e4. doi:10.2105/AJPH.2020.306056. PMC 7811089. PMID 33439720. ProQuest 2486203133.
  102. ^ Egelhofer, Jana Laura; Aaldering, Loes; Eberl, Jakob-Moritz; Galyga, Sebastian; Lecheler, Sophie (26 July 2020). "From Novelty to Normalization? How Journalists Use the Term 'Fake News' in their Reporting". Journalism Studies. 21 (10): 1323–1343. doi:10.1080/1461670x.2020.1745667. S2CID 216189313.
  103. ^ a b c Stewart, Mallory (2021). "Defending Weapons Inspections from the Effects of Disinformation". AJIL Unbound. 115: 106–110. doi:10.1017/aju.2021.4. S2CID 232070073.
  104. ^ Damstra, Alyt; Boomgaarden, Hajo G.; Broda, Elena; Lindgren, Elina; Strömbäck, Jesper; Tsfati, Yariv; Vliegenthart, Rens (26 October 2021). "What Does Fake Look Like? A Review of the Literature on Intentional Deception in the News and on Social Media". Journalism Studies. 22 (14): 1947–1963. doi:10.1080/1461670x.2021.1979423. S2CID 244253422.
  105. ^ Lanoszka, Alexander (June 2019). "Disinformation in international politics". European Journal of International Security. 4 (2): 227–248. doi:10.1017/eis.2019.6. S2CID 211312944.
  106. ^ Ognyanova, Katherine; Lazer, David; Robertson, Ronald E.; Wilson, Christo (2 June 2020). "Misinformation in action: Fake news exposure is linked to lower trust in media, higher trust in government when your side is in power". Harvard Kennedy School Misinformation Review. doi:10.37016/mr-2020-024. S2CID 219904597.
  107. ^ "Clarifying misinformation Clarifying misinformation". University Wire. Carlsbad. 10 March 2016. ProQuest 1771695334.
  108. ^ Bodner, Glen E.; Musch, Elisabeth; Azad, Tanjeem (December 2009). "Reevaluating the potency of the memory conformity effect". Memory & Cognition. 37 (8): 1069–1076. doi:10.3758/MC.37.8.1069. PMID 19933452.
  109. ^ Southwell, Brian G.; Thorson, Emily A.; Sheble, Laura (2018). Misinformation and Mass Audiences. University of Texas Press. ISBN 978-1477314586.
  110. ^ Barker, David (2002). Rushed to Judgement: Talk Radio, Persuasion, and American Political Behavior. New York: Columbia University Press. pp. 106–109.
  111. ^ "The misinformation that was told about Brexit during and after the referendum". The Independent. 2 August 2018. Archived from the original on 15 May 2022.
  112. ^ O'Connor, Cailin; Weatherall, James Owen (2019). The Misinformation Age: How False Beliefs Spread. New Haven: Yale University Press. pp. 10. ISBN 978-0-300-23401-5.
  113. ^ Sinha, P.; Shaikh, S.; Sidharth, A. (2019). India Misinformed: The True Story. Harper Collins. ISBN 978-9353028381.
  114. ^ a b Bratu, Sofia (May 24, 2020). "The Fake News Sociology of COVID-19 Pandemic Fear: Dangerously Inaccurate Beliefs, Emotional Contagion, and Conspiracy Ideation". Linguistic and Philosophical Investigations. 19: 128–134. doi:10.22381/LPI19202010.
  115. ^ Gayathri Vaidyanathan (22 July 2020). "News Feature: Finding a vaccine for misinformation". Proceedings of the National Academy of Sciences of the United States of America. 117 (32): 18902–18905. Bibcode:2020PNAS..11718902V. doi:10.1073/PNAS.2013249117. ISSN 0027-8424. PMC 7431032. PMID 32699146. Wikidata Q97652640.
  116. ^ "Misinformation on coronavirus is proving highly contagious". AP NEWS. 2020-07-29. Retrieved 2020-11-23.
  117. ^ "Info-Environmentalism: An Introduction". from the original on 2018-07-03. Retrieved 2018-09-28.
  118. ^ "Information Environmentalism". Digital Learning and Inquiry (DLINQ). 2017-12-21. from the original on 2018-09-28. Retrieved 2018-09-28.
  119. ^ Righetti, Nicola; Rossi, Luca; Marino, Giada (4 July 2022). "At the onset of an infodemic: Geographic and disciplinary boundaries in researching problematic COVID-19 information". First Monday. doi:10.5210/fm.v27i7.12557. S2CID 250289817.
  120. ^ Bernstein, Joseph (9 August 2021). "Bad News: Selling the story of disinformation". Harper's Magazine.
  121. ^ Adler-Bell, Sam (2022-05-20). "The Liberal Obsession With 'Disinformation' Is Not Helping". Intelligencer. Retrieved 2022-09-30.
  122. ^ Camargo, Chico Q.; Simon, Felix M. (20 September 2022). "Mis- and disinformation studies are too big to fail: Six suggestions for the field's future". Harvard Kennedy School Misinformation Review. doi:10.37016/mr-2020-106. S2CID 252423678.

Further reading

  • Machado, Caio; Kira, Beatriz; Narayanan, Vidya; Kollanyi, Bence; Howard, Philip (2019). "A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections". Companion Proceedings of the 2019 World Wide Web Conference. pp. 1013–1019. doi:10.1145/3308560.3316738. ISBN 978-1-4503-6675-5. S2CID 153314118.
  • Allcott, H.; Gentzkow, M. (2017). "Social Media and Fake News in the 2016 Election". Journal of Economic Perspectives. 31 (2): 211–236. doi:10.1257/jep.31.2.211. S2CID 32730475.
  • Baillargeon, Normand (4 January 2008). A short course in intellectual self-defense. Seven Stories Press. ISBN 978-1-58322-765-7. Retrieved 22 June 2011.
  • Bakir, Vian; McStay, Andrew (7 February 2018). "Fake News and The Economy of Emotions: Problems, causes, solutions". Digital Journalism. 6 (2): 154–175. doi:10.1080/21670811.2017.1345645. S2CID 157153522.
  • Christopher Cerf, and Victor Navasky, The Experts Speak: The Definitive Compendium of Authoritative Misinformation, Pantheon Books, 1984.
  • Cook, John; Stephan Lewandowsky; Ullrich K. H. Ecker (2017-05-05). "Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence". PLOS One. 12 (5): e0175799. Bibcode:2017PLoSO..1275799C. doi:10.1371/journal.pone.0175799. PMC 5419564. PMID 28475576.
  • Helfand, David J., A Survival Guide to the Misinformation Age: Scientific Habits of Mind. Columbia University Press, 2016. ISBN 978-0231541022
  • Christopher Murphy (2005). Competitive Intelligence: Gathering, Analysing And Putting It to Work. Gower Publishing, Ltd.. pp. 186–189. ISBN 0-566-08537-2. A case study of misinformation arising from simple error
  • O'Connor, Cailin; Weatherall, James Owen (1 September 2019). "How Misinformation Spreads—and Why We Trust It". Scientific American.
  • O'Connor, Cailin, and James Owen Weatherall, The Misinformation Age; How False Beliefs Spread. Yale University Press, 2019. ISBN 978-0300241006
  • Offit, Paul (2019). Bad Advice: Or Why Celebrities, Politicians, and Activists Aren't Your Best Source of Health Information. Columbia University Press. ISBN 978-0231186995.
  • Persily, Nathaniel, and Joshua A. Tucker, eds. Social Media and Democracy: The State of the Field and Prospects for Reform. Cambridge University Press, 2020. ISBN 978-1108858779
  • Jürg Strässler (1982). Idioms in English: A Pragmatic Analysis. Gunter Narr Verlag. pp. 43–44. ISBN 3-87808-971-6.

External links

  • Comic: Fake News Can Be Deadly. Here's How To Spot It (audio tutorial, graphic tutorial)
  • Management and Strategy Institute, Free Misinformation and Disinformation Training online

misinformation, confused, with, disinformation, effect, incorrect, misleading, information, differs, from, disinformation, which, deliberately, deceptive, rumors, information, attributed, particular, source, unreliable, often, verified, turn, either, true, fal. Not to be confused with Disinformation or Misinformation effect Misinformation is incorrect or misleading information 1 It differs from disinformation which is deliberately deceptive 2 3 4 Rumors are information not attributed to any particular source 5 and so are unreliable and often verified but can turn out to be either true or false Even if later retracted misinformation can continue to influence actions and memory 6 People may be more prone to believe misinformation because they are emotionally connected to what they are listening to or are reading The role of social media has made information readily available to society at anytime and it connects vast groups of people along with their information at one time 7 Advances in technology has impacted the way people communicate information and the way misinformation is spread 8 Misinformation has impacts on societies ability to receive information which then influences our communities politics and medical field 7 Contents 1 History 2 Identification and correction 2 1 Cognitive factors 2 2 Countering misinformation 3 Causes 4 Online misinformation 4 1 Countermeasures 4 2 The role of social media 4 3 Lack of peer review 4 4 Censorship accusations 5 Mass media trust and transparency 5 1 Competition in news and media 5 2 Inaccurate information from media sources 5 3 Distrust 6 Impact 7 See also 8 References 9 Further reading 10 External linksHistory EditEarly examples include the insults and smears spread among political rivals in Imperial and Renaissance Italy in the form of pasquinades 9 These are anonymous and witty verses named for the Pasquino piazza and talking statues in Rome In pre revolutionary France canards or printed broadsides sometimes included an engraving to convince readers to take them seriously During the summer of 1588 continental Europe anxiously awaited news as the Spanish Armada sailed to fight the English The Spanish postmaster and Spanish agents in Rome promoted reports of Spanish victory in hopes of convincing Pope Sixtus V to release his promised of one million ducats upon landing of troops In France the Spanish and English ambassadors promoted contradictory narratives in the press and a Spanish victory was incorrectly celebrated in Paris Prague and Venice It was not until late August that reliable reports of the Spanish defeat arrived in major cities and were widely believed the remains of the fleet returned home in the autumn 10 A lithograph from the first large scale spread of disinformation in America the Great Moon Hoax The first recorded large scale disinformation campaign was the Great Moon Hoax published in 1835 in the New York The Sun in which a series of articles claimed to describe life on the Moon complete with illustrations of humanoid bat creatures and bearded blue unicorns 11 The challenges of mass producing news on a short deadline can lead to factual errors and mistakes An example of such is the Chicago Tribune s infamous 1948 headline Dewey Defeats Truman Harry S Truman displaying the inaccurate Chicago Tribune headline an example of misinformation The advent of the Internet has changed traditional ways that misinformation spreads 12 During the 2016 United States presidential election it was seen that content from websites deemed untrustworthy were reaching up to 40 of Americans despite misinformation making up only 6 of overall news media 13 Later during the COVID 19 pandemic both intentional and unintentional misinformation combined with a general lack of literacy regarding health science and medicine was proliferated creating further misinformation 14 What makes those susceptible to misinformation is still debated however 15 Identification and correction EditThis section may be too long to read and navigate comfortably Please consider splitting content into sub articles condensing it or adding subheadings Please discuss this issue on the article s talk page November 2022 See also Countermeasures According to Anne Mintz editor of Web of Deception Misinformation on the Internet one of the best ways to determine whether the information is factual is to use common sense 16 Mintz advises that the reader check whether the information makes sense and to check whether the founders or reporters who are spreading the information are biased or have an agenda Journalists and researchers look at other sites particularly verified sources like news channels 17 for information as the information is more likely to be reviewed by multiple people or have been heavily researched providing more reliable details Martin Libicki author of Conquest In Cyberspace National Security and Information Warfare 18 noted that readers must balance what is correct or incorrect Readers cannot be gullible but also should not be paranoid that all information is incorrect There is always the chance that even readers who strike this balance will believe an error to be true or a truth to be an error A person s formal education level and media literacy correlates with their ability to recognize misinformation 19 20 This means if a person is more familiar with the content and process of how the information is researched and presented or is better at critically evaluating information of any source they are more likely to correctly identify misinformation Increasing literacy may not lead to improved ability to detect misinformation as a certain level of literacy could be used to justify belief in misinformation 21 Further research reveals that content descriptors can have varying effects on people s ability to detect misinformation 22 Based on the work by Scheufele and Krause misinformation has different social layers that occur at the individual group and sociostructural levels At the Individual Root level of misinformation efforts have sought to focus on the citizen s individual ability to recognize disinformation or misinformation and thus correct their views based on what they received Hence the proposed solutions for these cases utilize side of news which range from altering algorithms that find the root of fake news or fact check these different sites The concern is that having the inability to recognize misinformation leads to assumption that all citizens are misinformed and thus unable to discern and logically evaluate information that emerges from social media What poses the largest threat is evaluation skill that is lacking amongst individuals to understand and identify the sources with biased dated or exploitative sources Interestingly enough Pew Research reports shared that approximately one in four American adults admitted to sharing misinformation on their social media platforms The quality of media literacy is also part of the problem contributing to the individual root level of misinformation Hence the call for improving media literacy is a necessity to educate individual citizens on fake news Other factors that influence misinformation at the individual level is motivations and emotion that influence motivated reasoning processes 23 The second root is at the group level People s social networks have truly changed as the social media environment has evolved Thus allowing a different web of social networks to persist allowing individuals to selectively disclose information which unfortunately is in a biased format As we all have seen the effects of playing the Telephone Game with a large group of people the same concept with the beliefs that are most widespread become the most repeated The problem with debunking misinformation is that this can backfire due to people relying only on the familiar information they had just been exposed to The problem with the homogenous social groups is that it nurtures a misinformation mindset allowing for falsehood to be accepted since it appears as perhaps a social norm due to the decrease in contradictory information Due to these social networks it creates clustering effect which can end up being specific rumor variations These rumor variations lead to beliefs being perceived as more popular than they actually are causing a rumor cascade on these social networks 23 The third level of misinformation is the Societal level which is influenced by both the individual and group levels The common figures associated with misinformation include Politicians as well as other political actors who attempt to shape the public opinion in their favor The role of the mass media is to be a corrective agent to prevent misinformation to American citizens Objectivity has been a common thread that American media has lacked being a contributor to the plague of misinformation As print media evolved into radio television and now the internet which go hand in hand with paid commercial actors to generate tailored content to attract viewers The intent is to reach target audiences which has dramatically shifted with examples such as Facebook utilize their sources to have data collection as well as profiling tools that track each users preferences for products and allow for ads that are hypertargeted for that viewer Not only are these hypertargeted ads but they also compete for younger audiences attention on social media which limit the amount of news sources viewed on a daily basis The condition of our society at this point is quoted best by the Axios cofounder Jim VandeHei who stated that Survival depends on giving readers what they really want how they want it when they want it and on not spending too much money producing what they don t want Unfortunately this is the climate of our culture when it comes to news quality The change of these news realities are attributed to social mega trends which have been a huge contributor to the misinformation problem of the United States In addition the decline in social capital political polarization gap in economic inequalities decline in trust in science and how the parties are susceptible also to misinformation 23 Cognitive factors Edit Prior research suggests it can be difficult to undo the effects of misinformation once individuals believe it to be true and that fact checking can backfire 24 Individuals may desire to reach a certain conclusion causing them to accept information that supports that conclusion Individuals are more likely to hang onto information and share information if it emotionally resonates with them 25 Individuals create mental models and schemas to understand their physical and social environments 26 Misinformation that becomes incorporated into a mental model especially for long periods of time will be more difficult to address as individuals prefer to have a complete mental model 27 In this instance it is necessary to correct the misinformation by both refuting it and providing accurate information that can function in the mental model 24 When attempting to correct misinformation it is important to consider previous research which has identified effective and ineffective strategies Simply providing the corrected information is insufficient to correct the effects of misinformation and it may even have a negative effect Due to the familiarity heuristic information that is familiar is more likely to be believed to be true corrective messages which contain a repetition of the original misinformation may result in an increase in familiarity and cause a backfire effect 28 Factors that contribute to the effectiveness of a corrective message include an individual s mental model or worldview repeated exposure to the misinformation time between misinformation and correction credibility of the sources and relative coherency of the misinformation and corrective message Corrective messages will be more effective when they are coherent and or consistent with the audience s worldview They will be less effective when misinformation is believed to come from a credible source is repeated prior to correction even if the repetition occurs in the process of debunking and or when there is a time lag between the misinformation exposure and corrective message Additionally corrective messages delivered by the original source of the misinformation tend to be more effective 29 Countering misinformation Edit One suggested solution for prevention of misinformation is a distributed consensus mechanism to validate the accuracy of claims with appropriate flagging or removal of content that is determined to be false or misleading 27 Another approach is to inoculate against it by delivering weakened misinformation that warns of the dangers of the misinformation 30 This includes counterarguments and showing the techniques used to mislead One way to apply this is to use parallel argumentation in which the flawed logic is transferred to a parallel situation E g shared extremity or absurdity This approach exposes bad logic without the need for complicated explanations 31 Flagging or eliminating false statements in media using algorithmic fact checkers is becoming an increasingly common tactic to fight misinformation Computer programs that automatically detect misinformation are just emerging but similar algorithms are already in place on Facebook and Google Google provides supplemental information pointing to fact checking websites in response to its users searching controversial search terms Likewise algorithms detect and alert Facebook users that what they are about to share is likely false 32 A common related issue brought up is the over censorship of platforms like Facebook and Twitter 33 Many free speech activists argue that their voices are not being heard and their rights being taken away 34 To combat the spread of misinformation social media platforms are often tasked with finding common ground between allowing free speech while also not allowing misinformation to be spread throughout their respective platforms 33 Websites have been created to help people to discern fact from fiction For example the site FactCheck org aims to fact check the media especially viral political stories The site also includes a forum where people can openly ask questions about the information 35 Similar sites allow individuals to copy and paste misinformation into a search engine and the site will investigate it 36 Some sites exist to address misinformation about specific topics such as climate change misinformation DeSmog formerly The DeSmogBlog publishes factually accurate information in order to counter the well funded disinformation campaigns spread by motivated deniers of climate change Facebook and Google added automatic fact checking programs to their sites and created the option for users to flag information that they think is false 36 A way that fact checking programs find misinformation involves analyzing the language and syntax of news stories Another way is fact checkers can search for existing information on the subject and compare it to the news broadcasts being put online 37 Other sites such as Wikipedia and Snopes are also widely used resources for verifying information Causes EditHistorically people have relied on journalists and other information professionals to relay facts and truths about certain topics 38 Many different things cause miscommunication but the underlying factor is information literacy Because information is distributed by various means it is often hard for users to ask questions of credibility Many online sources of misinformation use techniques to fool users into thinking their sites are legitimate and the information they generate is factual Often misinformation can be politically motivated 39 For example websites such as USConservativeToday com have posted false information for political and monetary gain 40 Another role misinformation serves is to distract the public eye from negative information about a given person and or issues of policy 32 Aside from political and financial gain misinformation can also be spread unintentionally This can cause problems and ignorance in large populations if people don t check what they consume Misinformation cited with hyperlinks has been found to increase readers trust Trust is shown to be even higher when these hyperlinks are to scientific journals and higher still when readers do not click on the sources to investigate for themselves 41 Trusting a source could lead to spreading misinformation unintentionally A good way to check if something is misinforming is to check sources that are widely agreed to be true such as college research papers and organizations with no agendas or biases org edu and gov to be specific citation needed Misinformation is sometimes an unintended side effect of bias Misguided opinions can lead to the unintentional spread of misinformation where individuals do not intend on spreading false propaganda yet the false information they share is not checked and referenced 42 While that may be the case there are plenty of instances where information is intentionally skewed or leaves out major defining details and facts Misinformation could be misleading rather than outright false Research documents the role political elites play in shaping both news coverage and public opinion around science issues 43 Another reason for the recent spread of misinformation may be the lack of consequences With little to no repercussions there is nothing to stop people from posting misleading information The gain they get from the power of influencing other peoples minds is greater than the impact of a removed post or temporary ban on Twitter This forces individual companies to be the ones to mandate rules and policies regarding when people s free speech impedes other users quality of life 44 Online misinformation Edit The differences between disinformation misinformation and malinformation Digital and social media can contribute to the spread of misinformation for instance when users share information without first checking the legitimacy of the information they have found People are more likely to encounter online information based on personalized algorithms Google Facebook and Yahoo News all generate newsfeeds based on the information they know about our devices our location and our online interests Although two people can search for the same thing at the same time they are very likely to get different results based on what that platform deems relevant to their interests fact or false 45 An emerging trend in the online information environment is a shift away from public discourse to private more ephemeral messaging which is a challenge to counter misinformation 46 Countermeasures Edit A report by the Royal Society lists potential or proposed countermeasures 46 Automated detection systems e g to flag or add context and resources to content Emerging anti misinformation sector e g organizations combating scientific misinformation Provenance enhancing technology i e better enabling people to determine the veracity of a claim image or video APIs for research i e for usage to detect understand and counter misinformation Active bystanders e g corrective commenting Community moderation usually of unpaid and untrained often independent volunteers Anti virals e g limiting the number of times a message can be forwarded in privacy respecting encrypted chats Collective intelligence examples being Wikipedia where multiple editors refine encyclopedic articles and question and answer sites where outputs are also evaluated by others similar to peer review Trustworthy institutions and data Media literacy increasing citizens ability to use ICTs to find evaluate create and communicate information an essential skill for citizens of all ages Media literacy is taught in Estonian public schools from kindergarten through to high school since 2010 and accepted as important as writing or reading 47 New Jersey mandated K 12 students to learn information literacy 48 Inoculation via educational videos shown to adults is being explored 49 Broadly described the report recommends building resilience to scientific misinformation and a healthy online information environment and not having offending content removed It cautions that censorship could e g drive misinformation and associated communities to harder to address corners of the internet 50 Online misinformation about climate change can be counteracted through different measures at different stages 51 Prior to misinformation exposure education and inoculation are proposed Technological solutions such as early detection of bots and ranking and selection algorithms are suggested as ongoing mechanisms Post misinformation corrective and collaborator messaging can be used to counter climate change misinformation Incorporating fines and similar consequences has also been suggested There also is research and development of platform built in as well browser integrated currently in the form of addons misinformation mitigation 52 53 54 55 This includes quality neutrality reliability ratings for news sources Wikipedia s perennial sources page categorizes many large news sources by reliability 56 Researchers have also demonstrated the feasibility of falsity scores for popular and official figures by developing such for over 800 contemporary elites on Twitter as well as associated exposure scores 57 58 The role of social media Edit This section may be too long to read and navigate comfortably Please consider splitting content into sub articles condensing it or adding subheadings Please discuss this issue on the article s talk page November 2022 In the Information Age social networking sites have become a notable agent for the spread of misinformation fake news and propaganda 59 20 60 61 62 excessive citations Misinformation on social media spreads quickly in comparison to traditional media because of the lack of regulation and examination required before posting 63 64 These sites provide users with the capability to spread information quickly to other users without requiring the permission of a gatekeeper such as an editor who might otherwise require confirmation of the truth before allowing publication Journalists today are criticized for helping to spread false information on these social platforms but research shows they also play a role in curbing it through debunking and denying false rumors 65 66 During the COVID 19 Pandemic social media was used as one of the main propagators for spreading misinformation about symptoms treatments and long term health related problems 1 This problem has initialized a significant effort in developing automated detection methods for misinformation on social media platforms 4 Social media platforms allow for easy spread of misinformation 67 The specific reasons why misinformation spreads through social media so easily remain unknown 63 A 2018 study of Twitter determined that compared to accurate information false information spread significantly faster further deeper and more broadly 68 Similarly a research study of Facebook found that misinformation was more likely to be clicked on than factual information 69 Combating misinformation s spread is difficult for three reasons the profusion of misinformation sources makes the reader s task of weighing the reliability of information more challenging 70 social media s propensity for culture wars embeds misinformation with identity based conflict 71 and the proliferation of echo chambers form an epistemic environment in which participants encounter beliefs and opinions that coincide with their own 72 moving the entire group toward more extreme positions 72 71 Echo chambers and filter bubbles come from the inclination of people to follow or support like minded individuals With no differing information to counter the untruths or the general agreement within isolated social clusters some argue the outcome is an absence of a collective reality 73 Although social media sites have changed their algorithms to prevent the spread of fake news the problem still exists 67 Furthermore research has shown that while people may know what the scientific community has proved as a fact they may still refuse to accept it as such 74 Researchers fear that misinformation in social media is becoming unstoppable 67 It has also been observed that misinformation and disinformation reappear on social media sites A research study watched the process of thirteen rumors appearing on Twitter and noticed that eleven of those same stories resurfaced multiple times after time had passed 75 A social media app called Parler has caused much chaos as well Right winged Twitter users who were banned on the app moved to Parler after the Capitol Hill riots and the app was being used to plan and facilitate more illegal and dangerous activities Google and Apple later pulled the app off their respective app stores This app has been able to cause a lot of misinformation and bias in the media allowing for more political mishaps 76 Another reason that misinformation spreads on social media is from the users themselves In a study it was shown that the most common reasons that Facebook users were sharing misinformation for socially motivated reasons rather than taking the information seriously 77 Although users may not be spreading false information for malicious reasons the misinformation is still being spread A research study shows that misinformation introduced through a social format influences individuals drastically more than misinformation delivered non socially 78 Facebook s coverage of misinformation has become a hot topic with the spread of COVID 19 as some reports indicated Facebook recommended pages containing health misinformation 33 For example this can be seen when a user likes an anti vax Facebook page Automatically more and more anti vax pages are recommended to the user 33 Additionally some reference Facebook s inconsistent censorship of misinformation leading to deaths from COVID 19 33 Larry Cook the creator of the Stop Mandatory Vaccination organization made money posting anti vax false news on social media He posted more than 150 posts aimed towards woman had over 1 6 million views and earned money on every click and share 79 Twitter is one of the most concentrated platforms for engagement with political fake news 80 of fake news sources are shared by 0 1 of users who are super sharers Older more conservative social users are also more likely to interact with fake news 77 On Facebook adults older than 65 were seven times more likely to share fake news than adults ages 18 29 68 Another source of misinformation on Twitter are bot accounts especially surrounding climate change 80 Misinformation spread by bots has been difficult for social media platforms to address 81 Facebook estimated the existence of up to 60 million troll bots actively spreading misinformation on their platform 82 and has taken measures to stop the spread of misinformation resulting in a decrease though misinformation continues to exist on the platform 67 A research report by NewsGuard found there is a very high level 20 in their probes of videos about relevant topics of online misinformation delivered to a mainly young user base with TikTok whose essentially unregulated usage is increasing as of 2022 83 84 Spontaneous spread of misinformation on social media usually occurs from users sharing posts from friends or mutually followed pages These posts are often shared from someone the sharer believes they can trust Other misinformation is created and spread with malicious intent Sometimes to cause anxiety other times to deceive audiences 85 There are times when rumors are created with malicious intent but shared by unknowing users With the large audiences that can be reached and the experts on various subjects on social media some believe social media could also be the key to correcting misinformation 86 Agent based models and other computational models have been used by researchers to explain how false beliefs spread through networks Epistemic network analysis is one example of a computational method for evaluating connections in data shared in a social media network or similar network 87 In The Misinformation Age How False Beliefs Spread a trade book by philosopher Cailin O Connor and physicist James Owen Weatherall the authors used a combination of case studies and agent based models to show how false beliefs spread on social media and scientific networks 88 89 This book analyses the social nature of scientific research the nature of information flow between scientists propagandists and politicians and the spread of false beliefs among the general population 88 Lack of peer review Edit Promoting more Peer Review to benefit the accuracy in information Due to the decentralized nature and structure of the Internet content creators can easily publish content without being required to undergo peer review prove their qualifications or provide backup documentation While library books have generally been reviewed and edited by an editor publishing company etc Internet sources cannot be assumed to be vetted by anyone other than their authors Misinformation may be produced reproduced and posted immediately on most online platforms 90 Censorship accusations Edit Social media sites such as Facebook and Twitter have found themselves defending accusations of censorship for removing posts they have deemed to be misinformation Social media censorship policies relying on government agency issued guidance to determine information validity have garnered criticism that such policies have the unintended effect of stifling dissent and criticism of government positions and policies 91 Most recently social media companies have faced criticism over allegedly prematurely censoring the discussion of the SARS CoV 2 Lab Leak Hypothesis 91 92 Other accusations of censorship appear to stem from attempts to prevent social media consumers from self harm through the use of unproven COVID 19 treatments For example in July 2020 a video went viral showing Dr Stella Immanuel claiming hydroxychloroquine was an effective cure for COVID 19 In the video Immanuel suggested that there was no need for masks school closures or any kind of economic shut down attesting that her alleged cure was highly effective in treating those infected with the virus The video was shared 600 000 times and received nearly 20 million views on Facebook before it was taken down for violating community guidelines on spreading misinformation 93 The video was also taken down on Twitter overnight but not before former president Donald Trump shared it to his page which was followed by over 85 million Twitter users NIAID director Dr Anthony Fauci and members of the World Health Organization WHO quickly discredited the video citing larger scale studies of hydroxychloroquine showing it is not an effective treatment of COVID 19 and the FDA cautioned against using it to treat COVID 19 patients following evidence of serious heart problems arising in patients who have taken the drug 94 Another prominent example of misinformation removal criticized by some as an example of censorship was the New York Post s report on the Hunter Biden laptops approximately two weeks before the 2020 presidential election which was used to promote the Biden Ukraine conspiracy theory Social media companies quickly removed this report and the Post s Twitter account was temporarily suspended Over 50 intelligence officials found the disclosure of emails allegedly belonging to Joe Biden s son had all the classic earmarks of a Russian information operation 95 Later evidence emerged that at least some of the laptop s contents were authentic 96 Mass media trust and transparency EditCompetition in news and media Edit Because news organizations and websites compete for viewers there is a need for efficiency in releasing stories to the public The news media landscape in the 1970s offered American consumers access to a limited but often consistent selection of news offerings whereas today consumers are confronted with an abundance of voices online This growth of consumer choice when it comes to news media allows the consumer to choose a news source that may align with their biases which consequently increases the likelihood that they are misinformed 32 47 of Americans reported social media as their main news source in 2017 as opposed to traditional news sources 97 News media companies often broadcast stories 24 hours a day and break the latest news in hopes of taking audience share from their competitors News can also be produced at a pace that does not always allow for fact checking or for all of the facts to be collected or released to the media at one time letting readers or viewers insert their own opinions and possibly leading to the spread of misinformation 98 Inaccurate information from media sources Edit A Gallup poll made public in 2016 found that only 32 of Americans trust the mass media to report the news fully accurately and fairly the lowest number in the history of that poll 99 An example of bad information from media sources that led to the spread of misinformation occurred in November 2005 when Chris Hansen on Dateline NBC claimed that law enforcement officials estimate 50 000 predators are online at any moment Afterward the U S attorney general at the time Alberto Gonzales repeated the claim However the number that Hansen used in his reporting had no backing Hansen said he received the information from Dateline expert Ken Lanning but Lanning admitted that he made up the number 50 000 because there was no solid data on the number According to Lanning he used 50 000 because it sounds like a real number not too big and not too small and referred to it as a Goldilocks number Reporter Carl Bialik says that the number 50 000 is used often in the media to estimate numbers when reporters are unsure of the exact data 100 The Novelty Hypothesis which was created by Soroush Vosoughi Deb Roy and Sinan Aral when they wanted to learn more about what attracts people to false news What they discovered was that people are connected through emotion In their study they compared false tweets on Twitter that were shared by the total content tweeted they specifically looked at the users and both the false and true information they shared They learned that people are connected through their emotions false rumors suggested more surprise and disgust which got people hooked and that the true rumors attracted more sadness joy and trust This study showed which emotions are more likely to cause the spread of false news 79 Distrust Edit This section may be too long to read and navigate comfortably Please consider splitting content into sub articles condensing it or adding subheadings Please discuss this issue on the article s talk page November 2022 Misinformation has often been associated with the concept of fake news which some scholars define as fabricated information that mimics news media content in form but not in organizational process or intent 20 Intentional misinformation called disinformation has become normalized in politics and topics of great importance to the public such as climate change and the COVID 19 pandemic Intentional misinformation has caused irreversible damage to public understanding and trust 101 Egelhofer et al argued that the media s wide adoption of the term fake news has served to normalize this concept and help to stabilize the use of this buzzword in our everyday language 2021 102 Goldstein 2021 discussed the need for government agencies and organizations to increase transparency of their practices or services by using social media Companies can then utilize the platforms offered by social media and bring forth full transparency to the public If used in strategic ways social media can offer an agency or agenda ex political campaigns or vaccines a way to connect with the public and offer a place for people to track news and developments Despite many popular examples being from the US misinformation is prevalent worldwide In the United Kingdom many people followed and believed a conspiracy theory that Coronavirus was linked to the 5G network 103 a popular idea that arose from a series of hashtags on Twitter Misinformation can also be used to deflect accountability For example Syria s repeated use of chemical weapons was the subject of a disinformation campaign intended to prevent accountability cite Steward M 2021 103 In his paper Defending Weapons Inspections from the Effects of Disinformation Stewart shows how disinformation was used to conceal and purposely misinform the public about Syria s violations of international law The intention was to create plausible deniability of the violations making discussion of possible violations to be regarded as untruthful rumors Because the disinformation campaigns have been so effective and normalized the opposing side has also started relying on disinformation to prevent repercussions for unfavorable behavior from those pushing a counter narrative According to Melanie Freeze Freeze et al 2020 in most cases the damage of misinformation can be irreparable 103 Freeze explored whether people can recollect an event accurately when presented with misinformation after the event occurred Findings showed that an individual s recollection of political events could be altered when presented with misinformation about the event This study also found that if one is able to identify warning signs of misinformation they still have a hard time retaining the pieces of information which are accurate vs inaccurate Furthermore their results showed that people can completely discard accurate information if they incorrectly deem a news source as fake news or untrustworthy and potentially disregard completely credible information Alyt Damstra Damstra et al 2021 states that misinformation has been around since the establishment of press thus leaving little room to wonder how it has been normalized today 104 Alexander Lanoszka 2019 105 argued that fake news does not have to be looked at as an unwinnable war Misinformation can create a sense of societal chaos and anarchy With deep mistrust no single idea can successfully move forward With the existence of malicious efforts to misinform desired progress may rely on trust in people and their processes Misinformation was a major talking point during the 2016 American Presidential Election with claims of social media sites allowing fake news to be spread 34 It has been found that exposure to misinformation is associated with an overall rise in political trust by those siding with the government in power or those who self define as politically moderate 106 Social media became polarized and political during the 2020 United States Presidential Election with some arguing that misinformation about COVID 19 had been circulating creating skepticism of topics such as vaccines and figures such as Dr Fauci Others argued that platforms such as Facebook had been unconstitutionally censoring conservative voices spreading misinformation to persuade voters 34 Polarization on social media platforms has caused people to question the source of their information Skepticism in news platforms created a large distrust of the news media Often misinformation is blended to seem true 44 Misinformation does not simply imply false information Social media platforms can be an easy place to skew and manipulate facts to show a different view on a topic often trying to paint a bad picture of events 107 42 Impact EditThis section may be too long to read and navigate comfortably Please consider splitting content into sub articles condensing it or adding subheadings Please discuss this issue on the article s talk page November 2022 Misinformation can affect all aspects of life Allcott Gentzkow and Yu concur that the diffusion of misinformation through social media is a potential threat to democracy and broader society The effects of misinformation can lead to decline of accuracy of information as well as event details 108 When eavesdropping on conversations one can gather facts that may not always be true or the receiver may hear the message incorrectly and spread the information to others On the Internet one can read content that is stated to be factual but that may not have been checked or may be erroneous In the news companies may emphasize the speed at which they receive and send information but may not always be correct in the facts These developments contribute to the way misinformation may continue to complicate the public s understanding of issues and to serve as a source for belief and attitude formation 109 In regards to politics some view being a misinformed citizen as worse than being an uninformed citizen Misinformed citizens can state their beliefs and opinions with confidence and thus affect elections and policies This type of misinformation occurs when a speaker appears authoritative and legitimate while also spreading misinformation 59 When information is presented as vague ambiguous sarcastic or partial receivers are forced to piece the information together and make assumptions about what is correct 110 Misinformation has the power to sway public elections and referendums if it gains enough momentum Leading up to the 2016 United Kingdom European Union membership referendum for example a figure widely circulated by the Vote Leave campaign claimed the UK would save 350 million a week by leaving the EU and that the money would be redistributed to the British National Health Service This was later deemed a clear misuse of official statistics by the UK statistics authority The advert infamously shown on the side of London s double decker busses did not take into account the UK s budget rebate and the idea that 100 of the money saved would go to the NHS was unrealistic A poll published in 2016 by Ipsos MORI found that nearly half of the British public believed this misinformation to be true 111 Even when information is proven to be misinformation it may continue to shape attitudes towards a given topic 99 meaning it has the power to swing political decisions if it gains enough traction A study conducted by Soroush Vosoughi Deb Roy and Sinan Aral looked at Twitter data including 126 000 posts spread by 3 million people over 4 5 million times They found that political news traveled faster than any other type of information They found that false news about politics reached more than 20 000 people three times faster than all other types of false news 79 Aside from political propaganda misinformation can also be employed in industrial propaganda Using tools such as advertising a company can undermine reliable evidence or influence belief through a concerted misinformation campaign For instance tobacco companies employed misinformation in the second half of the twentieth century to diminish the reliability of studies that demonstrated the link between smoking and lung cancer 112 In the medical field misinformation can immediately lead to life endangerment as seen in the case of the public s negative perception towards vaccines or the use of herbs instead of medicines to treat diseases 59 113 In regards to the COVID 19 pandemic the spread of misinformation has proven to cause confusion as well as negative emotions such as anxiety and fear 114 115 Misinformation regarding proper safety measures for the prevention of the virus that go against information from legitimate institutions like the World Health Organization can also lead to inadequate protection and possibly place individuals at risk for exposure 114 116 Some scholars and activists are heading movements to eliminate the mis disinformation and information pollution in the digital world One theory information environmentalism has become a curriculum in some universities and colleges 117 118 The general study of misinformation and disinformation is by now also common across various academic disciplines including sociology communication computer science and political science leading to the emerging field being described loosely as Misinformation and Disinformation Studies 119 However various scholars and journalists have criticised this development pointing to problematic normative assumptions a varying quality of output and lack of methodological rigor as well as a too strong impact of mis and disinformation research in shaping public opinion and policymaking 120 121 Summarising the most frequent points of critique communication scholars Chico Camargo and Felix Simon wrote in an article for the Harvard Kennedy School Misinformation Review that mis disinformation studies has been accused of lacking clear definitions having a simplified understanding of what it studies a too great emphasis on media effects a neglect of intersectional factors an outsized influence of funding bodies and policymakers on the research agenda of the field and an outsized impact of the field on policy and policymaking 122 See also EditList of common misconceptions List of fact checking websites List of fake news websites List of satirical news websites Alarmism Big lie Character assassination Defamation also known as slander Counter Misinformation Team Euromyth Factoid Fallacy List of fallacies Flat earth Gossip Junk science Memetic warfare Persuasion Pseudoscience Quotation Rumor Sensationalism Social engineering in political science and cybercrime The Disinformation Project Truth sandwichReferences Edit a b Merriam Webster Dictionary 19 August 2020 Misinformation Retrieved 19 August 2020 Merriam Webster Dictionary 19 August 2020 Disinformation Merriam Webster Retrieved 19 August 2020 Woolley Samuel C Howard Philip N 2016 Political Communication Computational Propaganda and Autonomous Agents International Journal of Communication 10 4882 4890 Archived from the original on 2019 10 22 Retrieved 2019 10 22 a b Caramancion Kevin Matthe 2020 An Exploration of Disinformation as a Cybersecurity Threat 2020 3rd International Conference on Information and Computer Technologies ICICT pp 440 444 doi 10 1109 icict50521 2020 00076 ISBN 978 1 7281 7283 5 S2CID 218651389 Merriam Webster Dictionary rumor Ecker Ullrich K H Lewandowsky Stephan Cheung Candy S C Maybery Murray T November 2015 He did it She did it No she did not Multiple causal explanations and the continued influence of misinformation PDF Journal of Memory and Language 85 101 115 doi 10 1016 j jml 2015 09 002 a b Aral Sinan 2020 The hype machine how social media disrupts our elections our economy and our health and how we must adapt First ed New York ISBN 978 0 525 57451 4 OCLC 1155486056 page needed Lewandowsky Stephan Ecker Ullrich K H Seifert Colleen M Schwarz Norbert Cook John 2012 Misinformation and Its Correction Continued Influence and Successful Debiasing Psychological Science in the Public Interest 13 3 106 131 doi 10 1177 1529100612451018 JSTOR 23484653 PMID 26173286 S2CID 42633 The True History of Fake News The New York Review of Books 2017 02 13 Archived from the original on 2019 02 05 Retrieved 2019 02 24 Andrew Pettegree 2015 The Invention of News Yale University Press pp 153 4 ISBN 978 0 300 21276 1 A short guide to the history of fake news and disinformation International Center for Journalists Archived from the original on 2019 02 25 Retrieved 2019 02 24 Godfrey Smith Peter December 1989 Misinformation Canadian Journal of Philosophy 19 4 533 550 doi 10 1080 00455091 1989 10716781 ISSN 0045 5091 S2CID 246637810 West Jevin D Bergstrom Carl T 2021 04 13 Misinformation in and about science Proceedings of the National Academy of Sciences 118 15 e1912444117 Bibcode 2021PNAS 11812444W doi 10 1073 pnas 1912444117 ISSN 0027 8424 PMC 8054004 PMID 33837146 Swire Thompson Briony Lazer David 2020 04 02 Public Health and Online Misinformation Challenges and Recommendations Annual Review of Public Health 41 1 433 451 doi 10 1146 annurev publhealth 040119 094127 ISSN 0163 7525 PMID 31874069 Jerit Jennifer Zhao Yangzi 2020 05 11 Political Misinformation Annual Review of Political Science 23 1 77 94 doi 10 1146 annurev polisci 050718 032814 ISSN 1094 2939 S2CID 212733536 Mintz Anne The Misinformation Superhighway PBS Archived from the original on 2 April 2013 Retrieved 26 February 2013 Jain Suchita Sharma Vanya Kaushal Rishabh 2016 Towards automated real time detection of misinformation on Twitter 2016 International Conference on Advances in Computing Communications and Informatics ICACCI pp 2015 2020 doi 10 1109 ICACCI 2016 7732347 ISBN 978 1 5090 2029 4 S2CID 17767475 Libicki Martin 2007 Conquest in Cyberspace National Security and Information Warfare New York Cambridge University Press pp 51 55 ISBN 978 0521871600 Khan M Laeeq Idris Ika Karlina 2 December 2019 Recognise misinformation and verify before sharing a reasoned action and information literacy perspective Behaviour amp Information Technology 38 12 1194 1212 doi 10 1080 0144929x 2019 1578828 S2CID 86681742 a b c Lazer David M J Baum Matthew A Benkler Yochai Berinsky Adam J Greenhill Kelly M Menczer Filippo Metzger Miriam J Nyhan Brendan Pennycook Gordon Rothschild David Schudson Michael Sloman Steven A Sunstein Cass R Thorson Emily A Watts Duncan J Zittrain Jonathan L 2018 The science of fake news Science 359 6380 1094 1096 Bibcode 2018Sci 359 1094L doi 10 1126 science aao2998 PMID 29590025 S2CID 4410672 Vraga Emily K Bode Leticia December 2017 Leveraging institutions educators and networks to correct misinformation A commentary on Lewandosky Ecker and Cook Journal of Applied Research in Memory and Cognition 6 4 382 388 doi 10 1016 j jarmac 2017 09 008 Caramancion Kevin Matthe 2020 Understanding the Impact of Contextual Clues in Misinformation Detection 2020 IEEE International IOT Electronics and Mechatronics Conference IEMTRONICS pp 1 6 doi 10 1109 IEMTRONICS51293 2020 9216394 ISBN 978 1 7281 9615 2 S2CID 222297695 a b c Scheufele Dietram Krause Nicole April 16 2019 Science audiences misinformation and fake news Proceedings of the National Academy of Sciences 116 16 7662 7669 Bibcode 2019PNAS 116 7662S doi 10 1073 pnas 1805871115 PMC 6475373 PMID 30642953 a b Ecker Ullrich K H Lewandowsky Stephan Chadwick Matthew 2020 04 22 Can Corrections Spread Misinformation to New Audiences Testing for the Elusive Familiarity Backfire Effect Cognitive Research Principles and Implications 5 1 41 doi 10 31219 osf io et4p3 hdl 1983 0d5feec2 5878 4af6 b5c7 fbbd398dd4c4 PMC 7447737 PMID 32844338 Lewandowsky Stephan Ecker Ullrich K H Seifert Colleen M Schwarz Norbert Cook John 2012 Misinformation and Its Correction Continued Influence and Successful Debiasing Psychological Science in the Public Interest 13 3 106 131 doi 10 1177 1529100612451018 JSTOR 23484653 PMID 26173286 S2CID 42633 Busselle Rick 2017 Schema Theory and Mental Models The International Encyclopedia of Media Effects pp 1 8 doi 10 1002 9781118783764 wbieme0079 ISBN 978 1 118 78404 4 a b Plaza Mateusz Paladino Lorenzo 2019 The use of distributed consensus algorithms to curtail the spread of medical misinformation International Journal of Academic Medicine 5 2 93 96 doi 10 4103 IJAM IJAM 47 19 S2CID 201803407 Supplemental Material for The Role of Familiarity in Correcting Inaccurate Information Journal of Experimental Psychology Learning Memory and Cognition xlm0000422 supp 2017 doi 10 1037 xlm0000422 supp Walter Nathan Tukachinsky Riva March 2020 A Meta Analytic Examination of the Continued Influence of Misinformation in the Face of Correction How Powerful Is It Why Does It Happen and How to Stop It Communication Research 47 2 155 177 doi 10 1177 0093650219854600 S2CID 197731687 Cook John Ellerton Peter Kinkead David 1 February 2018 Deconstructing climate misinformation to identify reasoning errors Environmental Research Letters 13 2 024018 Bibcode 2018ERL 13b4018C doi 10 1088 1748 9326 aaa49f S2CID 149353744 Cook John May June 2020 Using Humor And Games To Counter Science Misinformation Skeptical Inquirer Vol 44 no 3 Amherst New York Center for Inquiry pp 38 41 Archived from the original on 31 December 2020 Retrieved 31 December 2020 a b c Lewandowsky Stephan Ecker Ullrich K H Cook John December 2017 Beyond misinformation Understanding and coping with the post truth era PDF Journal of Applied Research in Memory and Cognition 6 4 353 369 doi 10 1016 j jarmac 2017 07 008 hdl 1983 1b4da4f3 009d 4287 8e45 a0a1d7b688f7 S2CID 149003083 a b c d e Griffith Chris 21 July 2021 Facebook exposed over its handling of COVID misinformation The Australian Canberra ProQuest 2553642687 a b c Brosnan Deanne 13 January 2021 When Misinformation is Misinformation CE Think Tank Newswire Miami ProQuest 2477885938 Ask FactCheck www factcheck org Archived from the original on 2016 03 31 Retrieved 2016 03 31 a b Fernandez Miriam Alani Harith 2018 Online Misinformation Companion of the Web Conference 2018 on the Web Conference 2018 WWW 18 pp 595 602 doi 10 1145 3184558 3188730 ISBN 978 1 4503 5640 4 S2CID 13799324 Zhang Chaowei Gupta Ashish Kauten Christian Deokar Amit V Qin Xiao December 2019 Detecting fake news for reducing misinformation risks using analytics approaches European Journal of Operational Research 279 3 1036 1052 doi 10 1016 j ejor 2019 06 022 S2CID 197492100 Web of Deception Misinformation on the Internet The Electronic Library 20 6 521 1 December 2002 doi 10 1108 el 2002 20 6 521 7 Conspiracy theories have long lurked in the background of American history said Dustin Carnahan a Michigan State University professor who studies political misinformation Conspiracy theories paint fraudulent reality of Jan 6 riot By DAVID KLEPPER AP news 1 January 2022 Marwick Alice E 2013 Online Identity A Companion to New Media Dynamics pp 355 364 doi 10 1002 9781118321607 ch23 ISBN 978 1 118 32160 7 Verma Nitin Fleischmann Kenneth R Koltai Kolina S January 2017 Human values and trust in scientific journals the mainstream media and fake news Proceedings of the Association for Information Science and Technology 54 1 426 435 doi 10 1002 pra2 2017 14505401046 S2CID 51958978 a b Chen Xinran Sin Sei Ching Joanna 2013 Misinformation What of it Motivations and individual differences in misinformation sharing on social media Misinformation What of it Motivations and Individual Differences in Misinformation Sharing on Social Media Proceedings of the American Society for Information Science and Technology 50 1 1 4 doi 10 1002 meet 14505001102 Literature Review Echo chambers filter bubbles and polarization PDF Retrieved 21 February 2022 a b Harford Tim 25 May 2013 Misinformation can be Beautiful Too The Undercover Economist Financial Times London p 60 ProQuest 1355300828 Beware online filter bubbles Eli Pariser retrieved 2022 02 09 a b The online information environment Understanding how the internet shapes people s engagement with scientific information PDF The Royal Society January 2022 ISBN 978 1 78252 567 7 Retrieved 21 February 2022 Yee Amy The country inoculating against disinformation BBC Retrieved 21 February 2022 Sitrin Carly New Jersey becomes first state to mandate K 12 students learn information literacy POLITICO Retrieved 9 January 2023 Roozenbeek Jon van der Linden Sander Goldberg Beth Rathje Steve Lewandowsky Stephan 26 August 2022 Psychological inoculation improves resilience against misinformation on social media Science Advances 8 34 eabo6254 Bibcode 2022SciA 8O6254R doi 10 1126 sciadv abo6254 ISSN 2375 2548 PMC 9401631 PMID 36001675 Royal Society cautions against censorship of scientific misinformation online The Royal Society Retrieved 12 February 2022 Treen Kathie M d I Williams Hywel T P O Neill Saffron J September 2020 Online misinformation about climate change WIREs Climate Change 11 5 doi 10 1002 wcc 665 S2CID 221879878 Zewe Adam Empowering social media users to assess content helps fight misinformation Massachusetts Institute of Technology via techxplore com Retrieved 18 December 2022 Jahanbakhsh Farnaz Zhang Amy X Karger David R 11 November 2022 Leveraging Structured Trusted Peer Assessments to Combat Misinformation Proceedings of the ACM on Human Computer Interaction 6 CSCW2 524 1 524 40 doi 10 1145 3555637 Elliott Matt Fake news spotter How to enable Microsoft Edge s NewsGuard CNET Retrieved 9 January 2023 12 Browser Extensions to Help You Detect and Avoid Fake News The Trusted Web 18 March 2021 Retrieved 9 January 2023 Darcy Oliver 24 July 2020 Wikipedia administrators caution editors about using Fox News as source on contentious claims CNN Business CNN Retrieved 9 January 2023 New MIT Sloan research measures exposure to misinformation from political elites on Twitter AP NEWS 29 November 2022 Retrieved 18 December 2022 Mosleh Mohsen Rand David G 21 November 2022 Measuring exposure to misinformation from political elites on Twitter Nature Communications 13 1 7144 Bibcode 2022NatCo 13 7144M doi 10 1038 s41467 022 34769 6 ISSN 2041 1723 PMC 9681735 PMID 36414634 a b c Stawicki Stanislaw P Firstenberg Michael S Papadimos Thomas J 2020 The Growing Role of Social Media in International Health Security The Good the Bad and the Ugly Global Health Security Advanced Sciences and Technologies for Security Applications pp 341 357 doi 10 1007 978 3 030 23491 1 14 ISBN 978 3 030 23490 4 S2CID 212995901 Vosoughi Soroush Roy Deb Aral Sinan 9 March 2018 The spread of true and false news online Science 359 6380 1146 1151 Bibcode 2018Sci 359 1146V doi 10 1126 science aap9559 PMID 29590045 S2CID 4549072 Tucker Joshua A Guess Andrew Barbera Pablo Vaccari Cristian Siegel Alexandra Sanovich Sergey Stukal Denis Nyhan Brendan Social Media Political Polarization and Political Disinformation A Review of the Scientific Literature Hewlett Foundation White Paper Archived from the original on 2019 03 06 Retrieved 2019 03 05 Machado Caio Kira Beatriz Narayanan Vidya Kollanyi Bence Howard Philip 2019 A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections Companion Proceedings of the 2019 World Wide Web Conference pp 1013 1019 doi 10 1145 3308560 3316738 ISBN 978 1 4503 6675 5 S2CID 153314118 a b Chen Xinran Sin Sei Ching Joanna Theng Yin Leng Lee Chei Sian September 2015 Why Students Share Misinformation on Social Media Motivation Gender and Study level Differences The Journal of Academic Librarianship 41 5 583 592 doi 10 1016 j acalib 2015 07 003 Caramancion Kevin Matthe 2021 The Role of Information Organization and Knowledge Structuring in Combatting Misinformation A Literary Analysis Computational Data and Social Networks Lecture Notes in Computer Science Vol 13116 pp 319 329 doi 10 1007 978 3 030 91434 9 28 ISBN 978 3 030 91433 2 S2CID 244890285 Starbird Kate Dailey Dharma Mohamed Owla Lee Gina Spiro Emma S 19 April 2018 Engage Early Correct More How Journalists Participate in False Rumors Online during Crisis Events Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 1 12 doi 10 1145 3173574 3173679 S2CID 5046314 Arif Ahmer Robinson John J Stanek Stephanie A Fichet Elodie S Townsend Paul Worku Zena Starbird Kate 2017 A Closer Look at the Self Correcting Crowd Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing pp 155 168 doi 10 1145 2998181 2998294 ISBN 978 1 4503 4335 0 S2CID 15167363 a b c d Allcott Hunt Gentzkow Matthew Yu Chuan April 2019 Trends in the diffusion of misinformation on social media Research amp Politics 6 2 205316801984855 doi 10 1177 2053168019848554 S2CID 52291737 a b Swire Thompson Briony Lazer David 2 April 2020 Public Health and Online Misinformation Challenges and Recommendations Annual Review of Public Health 41 1 433 451 doi 10 1146 annurev publhealth 040119 094127 PMID 31874069 Dwoskin Elizabeth Misinformation on Facebook got six times more clicks than factual news during the 2020 election study says The Washington Post a href Template Cite news html title Template Cite news cite news a CS1 maint url status link Messerole Chris 2018 05 09 How misinformation spreads on social media And what to do about it Brookings Institution Archived from the original on 25 February 2019 Retrieved 24 February 2019 a b Diaz Ruiz Carlos Nilsson Tomas 2022 08 08 Disinformation and Echo Chambers How Disinformation Circulates on Social Media Through Identity Driven Controversies Journal of Public Policy amp Marketing 42 18 35 doi 10 1177 07439156221103852 ISSN 0743 9156 a b Nguyen C Thi 2020 Echo Chambers and Epistemic Bubbles Episteme 17 2 141 161 doi 10 1017 epi 2018 32 ISSN 1742 3600 S2CID 171520109 Benkler Y 2017 Study Breitbart led rightwing media ecosystem altered broader media agenda Archived from the original on 4 June 2018 Retrieved 8 June 2018 Scheufele Dietram A Krause Nicole M 16 April 2019 Science audiences misinformation and fake news Proceedings of the National Academy of Sciences 116 16 7662 7669 Bibcode 2019PNAS 116 7662S doi 10 1073 pnas 1805871115 PMC 6475373 PMID 30642953 Shin Jieun Jian Lian Driscoll Kevin Bar Francois June 2018 The diffusion of misinformation on social media Temporal pattern message and source Computers in Human Behavior 83 278 287 doi 10 1016 j chb 2018 02 008 S2CID 41956979 Amazon to suspend Parler after deadly Capitol Hill riot Al Jazeera 10 January 2021 a b Chen Xinran Sin Sei Ching Joanna Theng Yin Leng Lee Chei Sian 2015 Why do Social Media Users Share Misinformation Proceedings of the 15th ACM IEEE CS Joint Conference on Digital Libraries pp 111 114 doi 10 1145 2756406 2756941 ISBN 978 1 4503 3594 2 S2CID 15983217 Gabbert Fiona Memon Amina Allan Kevin Wright Daniel B September 2004 Say it to my face Examining the effects of socially encountered misinformation Legal and Criminological Psychology 9 2 215 227 doi 10 1348 1355325041719428 S2CID 144823646 a b c Aral Sinan 2020 The hype machine how social media disrupts our elections our economy and our health and how we must adapt First ed New York ISBN 978 0 525 57451 4 OCLC 1155486056 page needed Revealed a quarter of all tweets about climate crisis produced by bots The Guardian 2020 02 21 Retrieved 2021 04 20 Milman Oliver 2020 02 21 Revealed quarter of all tweets about climate crisis produced by bots The Guardian Archived from the original on 2020 02 22 Retrieved 2020 02 23 Iyengar Shanto Massey Douglas S 16 April 2019 Scientific communication in a post truth society Proceedings of the National Academy of Sciences 116 16 7656 7661 Bibcode 2019PNAS 116 7656I doi 10 1073 pnas 1805868115 PMC 6475392 PMID 30478050 Tucker Emma 18 September 2022 TikTok s search engine repeatedly delivers misinformation to its majority young user base report says CNN Business CNN Retrieved 19 October 2022 Misinformation Monitor September 2022 NewsGuard Retrieved 19 October 2022 Thai My T Wu Weili Xiong Hui 2016 12 01 Big Data in Complex and Social Networks CRC Press ISBN 978 1 315 39669 9 Bode Leticia Vraga Emily K 2 September 2018 See Something Say Something Correction of Global Health Misinformation on Social Media Health Communication 33 9 1131 1140 doi 10 1080 10410236 2017 1331312 PMID 28622038 S2CID 205698884 Shaffer David Williamson Collier Wesley Ruis A R 2016 A tutorial on epistemic network analysis Analysing the structural connections in cognitive social and interaction data Journal of Learning Analytics 3 3 9 45 doi 10 18608 jla 2016 33 3 ERIC EJ1126800 a b Cailin O Connor Weatherall James Owen 2019 The Misinformation Age How False Beliefs Spread New Haven CT USA Yale University Press ISBN 9780300234015 Retrieved 31 January 2022 Valkovic Martina November 2020 Review of The Misinformation Age How False Beliefs Spread Philosophy in Review 40 4 doi 10 7202 1074030ar S2CID 229478320 Retrieved 31 January 2022 Stapleton Paul 2003 Assessing the quality and bias of web based sources implications for academic writing Journal of English for Academic Purposes 2 3 229 245 doi 10 1016 S1475 1585 03 00026 2 a b Facebook s Lab Leak About Face WSJ a href Template Cite news html title Template Cite news cite news a CS1 maint url status link Covid origin Why the Wuhan lab leak theory is being taken seriously BBC News 27 May 2021 a href Template Cite news html title Template Cite news cite news a CS1 maint url status link Hydroxychloroquine Why a video promoted by Trump was pulled on social media BBC News 2020 07 28 Retrieved 2021 11 24 Stella Immanuel the doctor behind unproven coronavirus cure claim BBC News 2020 07 29 Retrieved 2020 11 23 Bertrand Natasha October 19 2020 Hunter Biden story is Russian disinfo dozens of former intel officials say Politico Archived from the original on October 20 2020 Retrieved October 20 2020 Lizza Ryan September 21 2021 POLITICO Playbook Double Trouble for Biden Politico Shearer Elisa Gottfried Jeffrey 2017 09 07 News Use Across Social Media Platforms 2017 Pew Research Center s Journalism Project Retrieved 2021 03 28 Croteau David Hoynes William Milan Stefania Media Technology PDF Media Society Industries Images and Audiences pp 285 321 Archived PDF from the original on January 2 2013 Retrieved March 21 2013 a b Marwick Alice Lewis Rebecca 2017 Media Manipulation and Disinformation Online New York Data amp Society Research Institute pp 40 45 Gladstone Brooke 2012 The Influencing Machine New York W W Norton amp Company pp 49 51 ISBN 978 0393342468 Goldstein Neal D February 2021 Misinformation American Journal of Public Health 111 2 e3 e4 doi 10 2105 AJPH 2020 306056 PMC 7811089 PMID 33439720 ProQuest 2486203133 Egelhofer Jana Laura Aaldering Loes Eberl Jakob Moritz Galyga Sebastian Lecheler Sophie 26 July 2020 From Novelty to Normalization How Journalists Use the Term Fake News in their Reporting Journalism Studies 21 10 1323 1343 doi 10 1080 1461670x 2020 1745667 S2CID 216189313 a b c Stewart Mallory 2021 Defending Weapons Inspections from the Effects of Disinformation AJIL Unbound 115 106 110 doi 10 1017 aju 2021 4 S2CID 232070073 Damstra Alyt Boomgaarden Hajo G Broda Elena Lindgren Elina Stromback Jesper Tsfati Yariv Vliegenthart Rens 26 October 2021 What Does Fake Look Like A Review of the Literature on Intentional Deception in the News and on Social Media Journalism Studies 22 14 1947 1963 doi 10 1080 1461670x 2021 1979423 S2CID 244253422 Lanoszka Alexander June 2019 Disinformation in international politics European Journal of International Security 4 2 227 248 doi 10 1017 eis 2019 6 S2CID 211312944 Ognyanova Katherine Lazer David Robertson Ronald E Wilson Christo 2 June 2020 Misinformation in action Fake news exposure is linked to lower trust in media higher trust in government when your side is in power Harvard Kennedy School Misinformation Review doi 10 37016 mr 2020 024 S2CID 219904597 Clarifying misinformation Clarifying misinformation University Wire Carlsbad 10 March 2016 ProQuest 1771695334 Bodner Glen E Musch Elisabeth Azad Tanjeem December 2009 Reevaluating the potency of the memory conformity effect Memory amp Cognition 37 8 1069 1076 doi 10 3758 MC 37 8 1069 PMID 19933452 Southwell Brian G Thorson Emily A Sheble Laura 2018 Misinformation and Mass Audiences University of Texas Press ISBN 978 1477314586 Barker David 2002 Rushed to Judgement Talk Radio Persuasion and American Political Behavior New York Columbia University Press pp 106 109 The misinformation that was told about Brexit during and after the referendum The Independent 2 August 2018 Archived from the original on 15 May 2022 O Connor Cailin Weatherall James Owen 2019 The Misinformation Age How False Beliefs Spread New Haven Yale University Press pp 10 ISBN 978 0 300 23401 5 Sinha P Shaikh S Sidharth A 2019 India Misinformed The True Story Harper Collins ISBN 978 9353028381 a b Bratu Sofia May 24 2020 The Fake News Sociology of COVID 19 Pandemic Fear Dangerously Inaccurate Beliefs Emotional Contagion and Conspiracy Ideation Linguistic and Philosophical Investigations 19 128 134 doi 10 22381 LPI19202010 Gayathri Vaidyanathan 22 July 2020 News Feature Finding a vaccine for misinformation Proceedings of the National Academy of Sciences of the United States of America 117 32 18902 18905 Bibcode 2020PNAS 11718902V doi 10 1073 PNAS 2013249117 ISSN 0027 8424 PMC 7431032 PMID 32699146 Wikidata Q97652640 Misinformation on coronavirus is proving highly contagious AP NEWS 2020 07 29 Retrieved 2020 11 23 Info Environmentalism An Introduction Archived from the original on 2018 07 03 Retrieved 2018 09 28 Information Environmentalism Digital Learning and Inquiry DLINQ 2017 12 21 Archived from the original on 2018 09 28 Retrieved 2018 09 28 Righetti Nicola Rossi Luca Marino Giada 4 July 2022 At the onset of an infodemic Geographic and disciplinary boundaries in researching problematic COVID 19 information First Monday doi 10 5210 fm v27i7 12557 S2CID 250289817 Bernstein Joseph 9 August 2021 Bad News Selling the story of disinformation Harper s Magazine Adler Bell Sam 2022 05 20 The Liberal Obsession With Disinformation Is Not Helping Intelligencer Retrieved 2022 09 30 Camargo Chico Q Simon Felix M 20 September 2022 Mis and disinformation studies are too big to fail Six suggestions for the field s future Harvard Kennedy School Misinformation Review doi 10 37016 mr 2020 106 S2CID 252423678 Further reading EditMachado Caio Kira Beatriz Narayanan Vidya Kollanyi Bence Howard Philip 2019 A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections Companion Proceedings of the 2019 World Wide Web Conference pp 1013 1019 doi 10 1145 3308560 3316738 ISBN 978 1 4503 6675 5 S2CID 153314118 Allcott H Gentzkow M 2017 Social Media and Fake News in the 2016 Election Journal of Economic Perspectives 31 2 211 236 doi 10 1257 jep 31 2 211 S2CID 32730475 Baillargeon Normand 4 January 2008 A short course in intellectual self defense Seven Stories Press ISBN 978 1 58322 765 7 Retrieved 22 June 2011 Bakir Vian McStay Andrew 7 February 2018 Fake News and The Economy of Emotions Problems causes solutions Digital Journalism 6 2 154 175 doi 10 1080 21670811 2017 1345645 S2CID 157153522 Christopher Cerf and Victor Navasky The Experts Speak The Definitive Compendium of Authoritative Misinformation Pantheon Books 1984 Cook John Stephan Lewandowsky Ullrich K H Ecker 2017 05 05 Neutralizing misinformation through inoculation Exposing misleading argumentation techniques reduces their influence PLOS One 12 5 e0175799 Bibcode 2017PLoSO 1275799C doi 10 1371 journal pone 0175799 PMC 5419564 PMID 28475576 Helfand David J A Survival Guide to the Misinformation Age Scientific Habits of Mind Columbia University Press 2016 ISBN 978 0231541022 Christopher Murphy 2005 Competitive Intelligence Gathering Analysing And Putting It to Work Gower Publishing Ltd pp 186 189 ISBN 0 566 08537 2 A case study of misinformation arising from simple error O Connor Cailin Weatherall James Owen 1 September 2019 How Misinformation Spreads and Why We Trust It Scientific American O Connor Cailin and James Owen Weatherall The Misinformation Age How False Beliefs Spread Yale University Press 2019 ISBN 978 0300241006 Offit Paul 2019 Bad Advice Or Why Celebrities Politicians and Activists Aren t Your Best Source of Health Information Columbia University Press ISBN 978 0231186995 Persily Nathaniel and Joshua A Tucker eds Social Media and Democracy The State of the Field and Prospects for Reform Cambridge University Press 2020 ISBN 978 1108858779 Jurg Strassler 1982 Idioms in English A Pragmatic Analysis Gunter Narr Verlag pp 43 44 ISBN 3 87808 971 6 External links Edit Wikiquote has quotations related to Misinformation Comic Fake News Can Be Deadly Here s How To Spot It audio tutorial graphic tutorial Management and Strategy Institute Free Misinformation and Disinformation Training online Retrieved from https en wikipedia org w index php title Misinformation amp oldid 1148028375, wikipedia, wiki, book, books, library,

article

, read, download, free, free download, mp3, video, mp4, 3gp, jpg, jpeg, gif, png, picture, music, song, movie, book, game, games.