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Wikipedia

Image sharing

Image sharing, or photo sharing, is the publishing or transfer of digital photos online. Image sharing websites offer services such as uploading, hosting, managing and sharing of photos (publicly or privately).[1] This function is provided through both websites and applications that facilitate the upload and display of images. The term can also be loosely applied to the use of online photo galleries that are set up and managed by individual users, including photoblogs. Sharing means that other users can view but not necessarily download images, and users can select different copyright options for their images.

A photo shared on the Instagram app

While photoblogs tend only to display a chronological view of user-selected medium-sized photos, most photo sharing sites provide multiple views (such as thumbnails and slideshows), the ability to classify photos into albums, and add annotations (such as captions or tags).

Desktop photo management applications may include their own photo-sharing features or integration with sites for uploading images to them. There are also desktop applications whose sole function is sharing images, generally using peer-to-peer networking. Basic image sharing functionality can be found in applications that allow you to email photos, for example by dragging and dropping them into pre-designed templates.

Photo sharing is not confined to the web and personal computers, but is also possible from portable devices such as camera phones, either directly or via MMS. Some cameras now come equipped with wireless networking and similar sharing functionality themselves.[2]

History edit

The first photo sharing sites originated during the mid to late 1990s, primarily from services providing online ordering of prints (photo finishing), but many more came into being during the early 2000s with the goal of providing permanent and centralized access to a user's photos, and in some cases video clips too. Webshots, SmugMug, Yahoo! Photos and Flickr were among the first. This has resulted in different approaches to revenue generation and functionality among providers.

In 1995, Webshots was one of the first online photo sharing platforms.[3][4] Webshots offered an easy-to-use interface and basic photo editing tools.[5][6] In 2002, SmugMug was founded, focusing on providing a high-quality photo sharing experience for professional photographers. SmugMug offers features such as custom photo galleries and e-commerce options.[7][8][9] In 2003, Yahoo! Photos was one of the most popular photo sharing platforms thanks to its integration with Yahoo's email and search services.[10][11][12] In 2004, Flickr was founded, quickly becoming popular due to its vibrant photography community and effective tagging system.[13][14]

The 2010s saw the rise of mobile apps[15][16] and cloud storage.[17][18] The advent of smartphones with high-quality cameras and the availability of cloud storage services such as Google Photos, Dropbox, and iCloud Photo Library revolutionized the way people take, store, and access their photos. Mobile apps such as Instagram,[19] Snapchat,[20][21] and TikTok emerged, offering a simple and socially focused photo sharing experience. These apps met the need for instant sharing with friends and followers.

In recent years, AI and machine learning have become increasingly integrated into photo sharing platforms.[22][23] AI is being used to improve image quality, automatically tag images with relevant keywords, detect and filter inappropriate content, and create new effects and filters. AI has the potential to revolutionize the way people share photos, making it easier for them to share better-looking images and find relevant images.

Revenue models edit

Image sharing sites can be broadly broken up into two groups: sites that offer photo sharing for free and sites that charge consumers directly to host and share images.[24]

Of the sites that offer free photo sharing, most can be broken up into advertising-supported media plays and online photo finishing sites, where photo sharing is a vehicle to sell prints or other merchandise. These designations are not strict, and some subscription sites have a limited free version. Consumers can share their photos directly from their home computers over high speed connections through peer-to-peer photo sharing using applications. Peer-to-peer photo sharing often carries a small one-time cost for the software. Some sites allow you to post your pictures online and they will then project the image onto famous buildings during special events, while other sites let you insert photos into digital postcards, slide shows and photo albums and send them to others.

Some free sites are owned by camera manufacturers, and only accept photos made with their hardware.

Subscription-based edit

In return for a fee, subscription-based photo sharing sites offer their services without the distraction of advertisements or promotions for prints and gifts. They may also have other enhancements over free services, such as guarantees regarding the online availability of photos, more storage space, the ability for non-account holders to download full-size, original versions of photos, and tools for backing up photos. Some offer user photographs for sale, splitting the proceeds with the photographer, while others may use a disclaimer to reserve the right to use or sell the photos without giving the photographer royalties or notice.

Some image sharing sites have begun integrating video sharing as well.[25][26]

Sharing methods edit

Peer-to-peer edit

With the introduction of high speed (broadband) connections directly to homes, it is feasible to share images and videos without going through a central service. The advantages of peer-to-peer sharing are reduced hosting costs and no loss of control to a central service. The downsides are that the consumer does not get the benefit of off-site backup; consumer Internet service providers (ISPs) often prohibit the serving of content both by contract and through the implementation of network filtering, and there are few quality guarantees for recipients. However, there are typically no direct consumer costs beyond the purchase of the initial software, provided the consumer already has a computer with the photos at home on a high speed connection. Applications like Tonido provide peer-to-peer photo sharing.

Peer-to-server edit

Operating peer-to-peer solutions without a central server can create problems as some users do not leave their computers online and connected all the time. Using an always-on server like Windows Home Server which acts as an intermediate point, it is possible to share images peer-to-peer with the reliability and security of a central server. Images are securely stored behind a firewall on the Windows Home Server and can be accessed only by those with appropriate permissions.[27]

Peer-to-browser edit

A variation on the peer-to-peer model is peer-to-browser, whereby images are shared on one PC with the use of a local (on the host computer) software service (much like peer-to-peer) but made available to the viewer through a standard web browser. Technically speaking, this may still be described as peer-to-peer (with the second peer being a web browser) but it is characteristically different as it assumes no need to download peer software for the viewer. Photos are accessed by regular URLs that standard web browsers understand natively without any further software required. Consequently, photos shared in this way are accessible not only to users who have downloaded the correct peer software (compatible with the software in use by the sharer).[citation needed]

Peer-to-browser sharing has (similar to peer-to-peer) reduced hosting costs, no loss of control to a central service, and no waiting for files to upload to the central service. Furthermore, universal web browser access to shared files makes them more widely accessible and available for use in different ways, such as embedding in, or linking to, from within web pages. As with peer-to-peer, the downsides are lack of off-site backup, possible inhibition by some ISPs, and limitations in speed of serving.[citation needed]

Social networks edit

With the emergence of social networks, image sharing has now become a common online activity. For example, in Great Britain, 70% of online users engaged in image sharing in 2013; 64% of British users shared their photos through a social network. Facebook stated in 2015 that there were approximately two billion images uploaded to its service daily. In terms of image sharing, Facebook is the largest social networking service.[28] On Facebook, people can upload and share their photo albums individually, and collaboratively with shared albums. This feature allows multiple users to upload pictures to the same album, and the album's creator has the ability to add or delete contributors.[29] Twitter collaborated with Photobucket in developing a new photo sharing service so users can attach a picture to a tweet without depending on another application such as TwitPic or Yfrog.[30] As of June 2016, there were more than 500 million monthly active Instagram users.[31]

Link aggregation sites edit

Image sharing on social news and image aggregation sites such as Reddit, Imgur, 4chan, Pinterest and Tumblr allow users to share images with a large community of users. Images are the most liked content of the aggregation and media sharing site Reddit; and according to data analyst Randy Olson[32] as of August 2014, nearly 2/3 of all successful posts on the site were links to an image hosted on Imgur.[33]

Mobile edit

Sharing images via mobile phones has become popular. Several networks and applications have sprung up offering capabilities to share captured photos directly from mobile phones to social networks. The most prominent of these is Instagram, which has quickly become the dominant image sharing-centric social network with over 500 million members.[31] Other applications and networks offering similar service and growing in popularity include Streamzoo, Path, PicsArt, Piictu, and Starmatic.

Apps edit

Instagram, Snapchat, and Nice are examples of photo sharing apps with millions of users.

Technologies edit

Web photo album generators edit

Software can be found on the Internet to generate digital photo albums, usually to share photos on the web, using a home web server. In general, this is for advanced users that want to have better control over the appearance of their web albums and the actual servers they are going to run on.

Image classification edit

Image sharing sites usually propose several ways to classify images.[34] Most sites propose at least a taxonomy where images can be grouped within a directory-like structure in so-called "galleries". Some sites also allow users to classify images using tags to build a folksonomy. Depending on the restrictions on the set of users allowed to tag a single document and the set of tags available to describe the document, one speaks about narrow and broad folksonomies.[35] A folksonomy is broad when there is no restriction on the set of taggers and available tags. When there are limitations, the folksonomy is called narrow. Another mechanism is coupling taxonomy and folksonomy, where tags associated to galleries and artists are cascaded to the galleries and artist's pictures. Broad taxonomies have interesting properties like the power law.[36]

The use of Artificial Intelligence to classify uploaded photos by subject, theme, or location is a prominent feature of Raise that Canon-USA launched early March 2019.[37]

Photo tagging edit

Photo tagging is the process that allows users to tag and group photos of an individual or individuals.[38] With facial recognition software tagging photos can become quicker and easier; the more tagging done of an individual the more accurate the software can be. This type of software is currently in use on Facebook.[39] Photo tagging is a way of labeling photos so that viewers can know who is who in the picture. On most online photo sharing sites such as Facebook, a tag can also be used as a link that when clicked will take you to the person's profile that was tagged. Most of the time photos can only be tagged by the user to uploads the photo but on some sites photos can be tagged by other users as well. These tags can be searched for across the entire Internet, on separate websites or in private data bases. They can be used for crowdsourced classification (see the section on image classification) but can also play a socio-cultural role in that they can establish neologisms, Internet memes, snowclones, slogans, catch phrases, shared vocabularies and categorizations as well as producing comedic twists, contexts and perspectives of the presented images, and hence often play a significant role in the community building and identity formation of and the entertainment in online communities that allow the creation of broad folksonomies.

Geotagging edit

Geotagging a photo is the process in which a photo is marked with the geographical identification of the place it was taken. Most technology with photo taking capabilities are equipped with GPS system sensors that routinely geotag photos and videos. Crowdsourced data available from photo-sharing services have the potentiality of tracking places. Geotagging can reveal the footprints and behaviors of travelers by utilizing spatial proximity of geo-tagged photos that are shared online, making it possible to extract travel information relating to a particular location.[40][41] Instagram, Flickr, and Panoramio are a few services that provide the option of geotagging images. Flickr has over 40 million geotagged photos uploaded by 400 thousand users, and still growing at a rapid pace.[42] Some sites including Panoramio and Wikimedia Commons show their geocoded photographs on a map, helping the user find pictures of the same or nearby objects from different directions.

Criticism edit

Critics of image/photo sharing are concerned with the use of applications such as Instagram, because they believe that the behaviors portrayed on these sites could potentially be linked to the narcissism trait. Keen argues that "Self" is running digital culture, and he states that people use social-media platforms because they are interested in advertising themselves.[43] Buffardi and Campbell (2008) also alleged that Instagram offers "a gateway for self-promotion via self-descriptions, vanity via photos, and a large amount of shallow relationships." However, they later said that the large number of users suggests the general psychology of the members is normative.[44]

Privacy edit

Privacy activists and researchers have noted that the sharing of images on social networks may compromise the privacy of people depicted in them. Further, most current social networks afford their users little control over content that they did not post themselves.[45] In its privacy policy, Facebook states that any information posted using its service, including images, may be used to display relevant ads to its users.[46] Facebook utilizes automatic facial recognition software that can automatically recognize the face of another Facebook user in new photos, and suggest that the user be tagged in the photo.[39] A Ghent University study found that employers commonly search for prospective employees on Facebook, and may decide whether or not to grant an interview based on the person's profile picture.[47]

Purposes edit

The increasing ease of use has encouraged image sharing in insurance, including crop insurance.[48] The insurance company and farmer have a shared interest in the current state of a field.[48] This method allows crop health to be monitored more quickly and easily than any other way.[48]

See also edit

References edit

  1. ^ Aichner, T.; Jacob, F. (March 2015). "Measuring the Degree of Corporate Social Media Use". International Journal of Market Research. 57 (2): 257–275. doi:10.2501/IJMR-2015-018. S2CID 166531788.
  2. ^ Klosowski, Thorin (2010-03-23). "How WiFi Cameras Work". HowStuffWorks. Retrieved 2016-10-22.
  3. ^ "Excite@Home's Webshots Ranked #1 Online Photo Destination". Business Wire. 2000-04-20.
  4. ^ . 2004-02-01. Archived from the original on February 2, 2004.
  5. ^ . webshots.co. Archived from the original on 30 November 2012. Retrieved 12 January 2022.
  6. ^ . Yahoo! News via AP. 2007-10-25. Archived from the original on 2007-10-28. Retrieved 2007-11-14.
  7. ^ Guynn, Jessica (December 24, 2007). "A focused family business". Los Angeles Times.
  8. ^ Guynn, Jessica (April 20, 2018). "Exclusive: Flickr Bought by SmugMug, Which Vows to Revitalize the Photo Service". USA Today. Gannett Company.
  9. ^ Guynn, Jessica (April 20, 2018). "Exclusive: Flickr Bought by SmugMug, Which Vows to Revitalize the Photo Service". USA Today. Gannett Company.
  10. ^ Steve Thompson (September 20, 2014). "Flickr, a Yahoo company". Flickr - Photo Sharing!. Retrieved April 9, 2016.
  11. ^ . Archived from the original on May 9, 2007. Retrieved May 4, 2007.
  12. ^ "Yahoo Photo Album Download © Rohit, www.smart-techie.com, 2007". sud.co.in. Retrieved April 9, 2016.
  13. ^ Sandler, Rachel. "A small family-run firm bought Flickr from Verizon and says it can bring back its glory days". Business Insider.
  14. ^ "Flickr Launches New Design and Features, Now Has 112M Members". May 7, 2015. Retrieved August 29, 2015.
  15. ^ Gao, J.; Bai, X.; Tsai, W.; Uehara, T. (February 2014). "Mobile Application Testing: A Tutorial". Computer. 47 (2): 46–55. doi:10.1109/MC.2013.445. ISSN 0018-9162. S2CID 39110385.
  16. ^ Strain, Matt (2015-02-13). "1983 to today: a history of mobile apps". the Guardian. from the original on 2021-06-02. Retrieved 2021-05-31.
  17. ^ "Box.net lets you store, share, work in the computing cloud". Silicon Valley Business Journal. December 16, 2009. Retrieved October 2, 2016.
  18. ^ "A History of Cloud Computing". ComputerWeekly.
  19. ^ For example:Edwards, Erica B.; Esposito, Jennifer (2019). "Reading social media intersectionally". Intersectional Analysis as a Method to Analyze Popular Culture: Clarity in the Matrix. Futures of Data Analysis in Qualitative Research. Abingdon: Routledge. ISBN 978-0-429-55700-2. Retrieved May 7, 2020. Instagram (IG) is a photo sharing app created in October of 2010 allowing users to share photos and videos.
  20. ^ "Snap Inc. Announces First Quarter 2020 Financial Results". investor.snap.com. from the original on September 22, 2020. Retrieved 2020-04-26.
  21. ^ Lee, Nicole (22 July 2021). "Snapchat just announced its largest user growth in years". Engadget. from the original on July 22, 2021. Retrieved 22 July 2021.
  22. ^ Darbinyan, Rem. "Council Post: How AI Transforms Social Media". Forbes. Retrieved 2023-12-04.
  23. ^ Davenport, Thomas H.; Mittal, Nitin (2022-11-14). "How Generative AI Is Changing Creative Work". Harvard Business Review. ISSN 0017-8012. Retrieved 2023-12-04.
  24. ^ Stokes, Natasha (2016-03-02). "The Best Photo Sharing Sites". Retrieved 2016-10-22.
  25. ^ "Facebook adds video sharing to Instagram". ABS-CBN News. 2013-07-21. Retrieved 2016-10-22.
  26. ^ Stewart, Jamie (2015-02-18). . Coverdrone. Archived from the original on 2016-10-24. Retrieved 2016-10-22.
  27. ^ "Secure online photo sharing with Windows Home Server and Community Add-Ins". Windows Home Server Team Blog. Retrieved 2016-10-22.
  28. ^ Malik, Aqdas; Dhir, Amandeep; Nieminen, Marko (2016-02-01). "Uses and Gratifications of digital photo sharing on Facebook". Telematics and Informatics. 33 (1): 129–138. doi:10.1016/j.tele.2015.06.009. S2CID 550229.
  29. ^ Burnham, Kristin (2013-08-27). "Facebook Expands Shared Photo Albums". InformationWeek. Retrieved 2016-10-22.
  30. ^ Strohmeyer, Robert (2011-08-11). "Twitter Tweaks Tabs, Adds Photo Sharing". Network Computing. Retrieved 2016-10-22.
  31. ^ a b "Number of monthly active Instagram users from January 2013 to June 2016 (in millions)". Statista. 2016. Retrieved 13 October 2016.
  32. ^ "The Cold War Between Reddit and Imgur Has Officially Begun". Motherboard. 2016-06-21. Retrieved 4 May 2017.
  33. ^ Olson, Dr. Randal S. (25 May 2016). "Why is Reddit replacing Imgur?". Retrieved 4 May 2017.
  34. ^ Brown, F. (2007). "Metadata Goes Mainstream 2007-06-16 at the Wayback Machine—about online photo galleries and the lessons we can learn."
  35. ^ Vanderwal, T. (2005). "Explaining and Showing Broad and Narrow Folksonomies 2021-06-10 at the Wayback Machine."
  36. ^ Speroni, Pietro. (2005-05-25). "On Tag Clouds, Metric, Tag Sets and Power Laws 2006-10-11 at the Wayback Machine." Retrieved 2016-10-23.
  37. ^ . Archived from the original on 2019-03-06. Retrieved 2024-03-26. {{cite web}}: Missing or empty |title= (help)
  38. ^ Sieber, Tina (2012-06-13). "3 Things You Need To Know About Photo Tagging In Facebook". MakeUseOf. Retrieved 2016-10-22.
  39. ^ a b "How does Facebook suggest tags? | Facebook Help Center | Facebook". www.facebook.com. Retrieved 2016-10-22.
  40. ^ Kou, N. M., U, L. H., Yang, Y., & Gong, Z. (October 01, 2015). Travel topic analysis: a mutually reinforcing method for geo-tagged photos. Geoinformatica : an International Journal on Advances of Computer Science for Geographic Information Systems, 19, 4, 693–721
  41. ^ Xu, Z., Chen, L., & Chen, G. (May 01, 2015). Topic based context-aware travel recommendation method exploiting geotagged photos. Neurocomputing, 155, 99–107.
  42. ^ García-Palomares, J. C., Gutiérrez, J., & Mínguez, C. (January 01, 2015). Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS. Applied Geography, 63, 408–417.
  43. ^ Keen, Andrew (2008). The Cult of the Amateur: How blogs, MySpace, YouTube, and the rest of today's user-generated media are destroying our economy, our culture, and our values. New York, NY: Doubleday. ISBN 978-0-385-52081-2.
  44. ^ Buffardi, Laura E.; Campbell, W. Keith (2008-10-01). "Narcissism and Social Networking Web Sites". Personality and Social Psychology Bulletin. 34 (10): 1303–1314. doi:10.1177/0146167208320061. ISSN 0146-1672. PMID 18599659. S2CID 5740594.
  45. ^ Xu, K.; Guo, Y.; Guo, L.; Fang, Y.; Li, X. (2015-01-01). "My Privacy My Decision: Control of Photo Sharing on Online Social Networks". IEEE Transactions on Dependable and Secure Computing. PP (99): 199–210. doi:10.1109/TDSC.2015.2443795. ISSN 1545-5971.
  46. ^ "Data Policy". Facebook. Retrieved 2016-10-22.
  47. ^ Murgia, Madhumita (2016-01-14). "Your Facebook profile photo affects your job prospects, study claims". The Daily Telegraph. Retrieved 2016-10-10.
  48. ^ a b c Kramer, Berber (2023). "Picture-Based Crop Insurance (PBI)". IFPRI (the International Food Policy Research Institute).

External links edit

  •   Media related to Photo sharing at Wikimedia Commons

image, sharing, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, 2022, learn. This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Image sharing news newspapers books scholar JSTOR May 2022 Learn how and when to remove this message Image sharing or photo sharing is the publishing or transfer of digital photos online Image sharing websites offer services such as uploading hosting managing and sharing of photos publicly or privately 1 This function is provided through both websites and applications that facilitate the upload and display of images The term can also be loosely applied to the use of online photo galleries that are set up and managed by individual users including photoblogs Sharing means that other users can view but not necessarily download images and users can select different copyright options for their images A photo shared on the Instagram app While photoblogs tend only to display a chronological view of user selected medium sized photos most photo sharing sites provide multiple views such as thumbnails and slideshows the ability to classify photos into albums and add annotations such as captions or tags Desktop photo management applications may include their own photo sharing features or integration with sites for uploading images to them There are also desktop applications whose sole function is sharing images generally using peer to peer networking Basic image sharing functionality can be found in applications that allow you to email photos for example by dragging and dropping them into pre designed templates Photo sharing is not confined to the web and personal computers but is also possible from portable devices such as camera phones either directly or via MMS Some cameras now come equipped with wireless networking and similar sharing functionality themselves 2 Contents 1 History 2 Revenue models 2 1 Subscription based 3 Sharing methods 3 1 Peer to peer 3 2 Peer to server 3 3 Peer to browser 3 4 Social networks 3 5 Link aggregation sites 3 6 Mobile 3 7 Apps 4 Technologies 4 1 Web photo album generators 4 2 Image classification 4 3 Photo tagging 4 4 Geotagging 5 Criticism 5 1 Privacy 6 Purposes 7 See also 8 References 9 External linksHistory editThe first photo sharing sites originated during the mid to late 1990s primarily from services providing online ordering of prints photo finishing but many more came into being during the early 2000s with the goal of providing permanent and centralized access to a user s photos and in some cases video clips too Webshots SmugMug Yahoo Photos and Flickr were among the first This has resulted in different approaches to revenue generation and functionality among providers In 1995 Webshots was one of the first online photo sharing platforms 3 4 Webshots offered an easy to use interface and basic photo editing tools 5 6 In 2002 SmugMug was founded focusing on providing a high quality photo sharing experience for professional photographers SmugMug offers features such as custom photo galleries and e commerce options 7 8 9 In 2003 Yahoo Photos was one of the most popular photo sharing platforms thanks to its integration with Yahoo s email and search services 10 11 12 In 2004 Flickr was founded quickly becoming popular due to its vibrant photography community and effective tagging system 13 14 The 2010s saw the rise of mobile apps 15 16 and cloud storage 17 18 The advent of smartphones with high quality cameras and the availability of cloud storage services such as Google Photos Dropbox and iCloud Photo Library revolutionized the way people take store and access their photos Mobile apps such as Instagram 19 Snapchat 20 21 and TikTok emerged offering a simple and socially focused photo sharing experience These apps met the need for instant sharing with friends and followers In recent years AI and machine learning have become increasingly integrated into photo sharing platforms 22 23 AI is being used to improve image quality automatically tag images with relevant keywords detect and filter inappropriate content and create new effects and filters AI has the potential to revolutionize the way people share photos making it easier for them to share better looking images and find relevant images Revenue models editImage sharing sites can be broadly broken up into two groups sites that offer photo sharing for free and sites that charge consumers directly to host and share images 24 Of the sites that offer free photo sharing most can be broken up into advertising supported media plays and online photo finishing sites where photo sharing is a vehicle to sell prints or other merchandise These designations are not strict and some subscription sites have a limited free version Consumers can share their photos directly from their home computers over high speed connections through peer to peer photo sharing using applications Peer to peer photo sharing often carries a small one time cost for the software Some sites allow you to post your pictures online and they will then project the image onto famous buildings during special events while other sites let you insert photos into digital postcards slide shows and photo albums and send them to others Some free sites are owned by camera manufacturers and only accept photos made with their hardware Subscription based edit In return for a fee subscription based photo sharing sites offer their services without the distraction of advertisements or promotions for prints and gifts They may also have other enhancements over free services such as guarantees regarding the online availability of photos more storage space the ability for non account holders to download full size original versions of photos and tools for backing up photos Some offer user photographs for sale splitting the proceeds with the photographer while others may use a disclaimer to reserve the right to use or sell the photos without giving the photographer royalties or notice Some image sharing sites have begun integrating video sharing as well 25 26 Sharing methods editPeer to peer edit With the introduction of high speed broadband connections directly to homes it is feasible to share images and videos without going through a central service The advantages of peer to peer sharing are reduced hosting costs and no loss of control to a central service The downsides are that the consumer does not get the benefit of off site backup consumer Internet service providers ISPs often prohibit the serving of content both by contract and through the implementation of network filtering and there are few quality guarantees for recipients However there are typically no direct consumer costs beyond the purchase of the initial software provided the consumer already has a computer with the photos at home on a high speed connection Applications like Tonido provide peer to peer photo sharing Peer to server edit Operating peer to peer solutions without a central server can create problems as some users do not leave their computers online and connected all the time Using an always on server like Windows Home Server which acts as an intermediate point it is possible to share images peer to peer with the reliability and security of a central server Images are securely stored behind a firewall on the Windows Home Server and can be accessed only by those with appropriate permissions 27 Peer to browser edit A variation on the peer to peer model is peer to browser whereby images are shared on one PC with the use of a local on the host computer software service much like peer to peer but made available to the viewer through a standard web browser Technically speaking this may still be described as peer to peer with the second peer being a web browser but it is characteristically different as it assumes no need to download peer software for the viewer Photos are accessed by regular URLs that standard web browsers understand natively without any further software required Consequently photos shared in this way are accessible not only to users who have downloaded the correct peer software compatible with the software in use by the sharer citation needed Peer to browser sharing has similar to peer to peer reduced hosting costs no loss of control to a central service and no waiting for files to upload to the central service Furthermore universal web browser access to shared files makes them more widely accessible and available for use in different ways such as embedding in or linking to from within web pages As with peer to peer the downsides are lack of off site backup possible inhibition by some ISPs and limitations in speed of serving citation needed Social networks edit With the emergence of social networks image sharing has now become a common online activity For example in Great Britain 70 of online users engaged in image sharing in 2013 64 of British users shared their photos through a social network Facebook stated in 2015 that there were approximately two billion images uploaded to its service daily In terms of image sharing Facebook is the largest social networking service 28 On Facebook people can upload and share their photo albums individually and collaboratively with shared albums This feature allows multiple users to upload pictures to the same album and the album s creator has the ability to add or delete contributors 29 Twitter collaborated with Photobucket in developing a new photo sharing service so users can attach a picture to a tweet without depending on another application such as TwitPic or Yfrog 30 As of June 2016 there were more than 500 million monthly active Instagram users 31 Link aggregation sites edit Image sharing on social news and image aggregation sites such as Reddit Imgur 4chan Pinterest and Tumblr allow users to share images with a large community of users Images are the most liked content of the aggregation and media sharing site Reddit and according to data analyst Randy Olson 32 as of August 2014 nearly 2 3 of all successful posts on the site were links to an image hosted on Imgur 33 Mobile edit Sharing images via mobile phones has become popular Several networks and applications have sprung up offering capabilities to share captured photos directly from mobile phones to social networks The most prominent of these is Instagram which has quickly become the dominant image sharing centric social network with over 500 million members 31 Other applications and networks offering similar service and growing in popularity include Streamzoo Path PicsArt Piictu and Starmatic Apps edit Instagram Snapchat and Nice are examples of photo sharing apps with millions of users Technologies editWeb photo album generators edit See also Comparison of photo gallery software Software can be found on the Internet to generate digital photo albums usually to share photos on the web using a home web server In general this is for advanced users that want to have better control over the appearance of their web albums and the actual servers they are going to run on Image classification edit Image sharing sites usually propose several ways to classify images 34 Most sites propose at least a taxonomy where images can be grouped within a directory like structure in so called galleries Some sites also allow users to classify images using tags to build a folksonomy Depending on the restrictions on the set of users allowed to tag a single document and the set of tags available to describe the document one speaks about narrow and broad folksonomies 35 A folksonomy is broad when there is no restriction on the set of taggers and available tags When there are limitations the folksonomy is called narrow Another mechanism is coupling taxonomy and folksonomy where tags associated to galleries and artists are cascaded to the galleries and artist s pictures Broad taxonomies have interesting properties like the power law 36 The use of Artificial Intelligence to classify uploaded photos by subject theme or location is a prominent feature of Raise that Canon USA launched early March 2019 37 Photo tagging edit See also Social bookmarking Photo tagging is the process that allows users to tag and group photos of an individual or individuals 38 With facial recognition software tagging photos can become quicker and easier the more tagging done of an individual the more accurate the software can be This type of software is currently in use on Facebook 39 Photo tagging is a way of labeling photos so that viewers can know who is who in the picture On most online photo sharing sites such as Facebook a tag can also be used as a link that when clicked will take you to the person s profile that was tagged Most of the time photos can only be tagged by the user to uploads the photo but on some sites photos can be tagged by other users as well These tags can be searched for across the entire Internet on separate websites or in private data bases They can be used for crowdsourced classification see the section on image classification but can also play a socio cultural role in that they can establish neologisms Internet memes snowclones slogans catch phrases shared vocabularies and categorizations as well as producing comedic twists contexts and perspectives of the presented images and hence often play a significant role in the community building and identity formation of and the entertainment in online communities that allow the creation of broad folksonomies Geotagging edit Main article Geotagging Geotagging a photo is the process in which a photo is marked with the geographical identification of the place it was taken Most technology with photo taking capabilities are equipped with GPS system sensors that routinely geotag photos and videos Crowdsourced data available from photo sharing services have the potentiality of tracking places Geotagging can reveal the footprints and behaviors of travelers by utilizing spatial proximity of geo tagged photos that are shared online making it possible to extract travel information relating to a particular location 40 41 Instagram Flickr and Panoramio are a few services that provide the option of geotagging images Flickr has over 40 million geotagged photos uploaded by 400 thousand users and still growing at a rapid pace 42 Some sites including Panoramio and Wikimedia Commons show their geocoded photographs on a map helping the user find pictures of the same or nearby objects from different directions Criticism editCritics of image photo sharing are concerned with the use of applications such as Instagram because they believe that the behaviors portrayed on these sites could potentially be linked to the narcissism trait Keen argues that Self is running digital culture and he states that people use social media platforms because they are interested in advertising themselves 43 Buffardi and Campbell 2008 also alleged that Instagram offers a gateway for self promotion via self descriptions vanity via photos and a large amount of shallow relationships However they later said that the large number of users suggests the general psychology of the members is normative 44 Privacy edit See also Privacy concerns with social networking services Privacy activists and researchers have noted that the sharing of images on social networks may compromise the privacy of people depicted in them Further most current social networks afford their users little control over content that they did not post themselves 45 In its privacy policy Facebook states that any information posted using its service including images may be used to display relevant ads to its users 46 Facebook utilizes automatic facial recognition software that can automatically recognize the face of another Facebook user in new photos and suggest that the user be tagged in the photo 39 A Ghent University study found that employers commonly search for prospective employees on Facebook and may decide whether or 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Institute External links edit nbsp Media related to Photo sharing at Wikimedia Commons Retrieved from https en wikipedia org w index php title Image sharing amp oldid 1220827633, wikipedia, wiki, book, books, library,

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