User:Bluerasberry/Readership of Wikipedia

From Wikipedia, the free encyclopedia
Reader interest in Wikipedia coverage of the COVID-19 pandemic grew rapidly from January to March 2020.[1]

Readership of Wikipedia includes all consumers of Wikipedia. Various studies have described Wikipedia as the world's most popular reference source and in 2007 began including Wikipedia in lists of top-10 websites by web traffic.[2] Most readers arrive at Wikipedia by following a search engine, although large numbers also arrive through social media.[3] Wikipedia is remarkable as a gateway which channels its readers to examine the sources which Wikipedia editors have cited.[4] The reader click-through rate of Wikipedia images is about 1/30, and for citations it is 1/300.[5] Research topics in discussing Wikipedia's readers include how many people read Wikipedia, demographics of readers, reader interest in particular categories of Wikipedia articles, the extent of Wikipedia engagement among readers, how credible readers find Wikipedia, and critiques of technological tools which interact with Wikipedia to provide additional insights to readers.[2]

Two-thirds of Wikipedia readers are men, and when men visit Wikipedia they access more articles per reading session than women.[6] Wikipedia has a global and multilingual readership.[6] Examination of Wikipedia readers across demographics including gender, country, wealth, languages used, and educational background reveal more trends in reading habits than researchers have been able to report.[7] Health information on Wikipedia is an especially examined area where researchers have compiled evidence that patients, medical students, and doctors all routinely consult Wikipedia.[8][9]

Since Wikipedia is a user-generated content platform, its content contributors are a portion of the readership.[10] The readers and editors together form a complex social and media ecosystem which many researchers have described.[11] While much research examines Wikipedia editor behavior, there is less available research on Wikipedia's readers.[12] Part of the explanation for the lack of research on readers is that Wikipedia provides privacy to its readers, and consequently, reader click path and session time data are not generally available.[12]

Audience[edit]

Size[edit]

The Wikimedia Foundation 2016-2017 Annual Report counted billions of Wikipedia readers.[13]

In 2013 the Wikimedia Foundation anticipated that there would be more than 1,000,000,000 Wikipedia users in 2015.[14] In the 2017 annual report the Wikimedia Foundation claimed to have served billions of readers.[13] In 2018 a report in The Independent noted that Wikipedia's own internal reporting counts 1.4 billion unique devices accessing Wikipedia every month.[15]

Various commentators have remarked on Wikipedia's web traffic ranking in comparison to other websites. In 2005 Jimmy Wales shared that Wikipedia was a top 50 website.[16] Wikipedia's Alexa Internet ranking was #37 in 2006,[17] #11 in 2007,[18] #7 in 2009,[19] #7 in 2015,[20] and #13 in 2021.[21] For the month of December 2006 Comscore ranked Wikipedia as the #6 website globally with 165,000,000 global unique users and the #9 website in the United States with 43 million unique users.[22]

In 2005 Hitwise reported that Wikipedia was the #2 reference website after Dictionary.com and the most popular encyclopedia, ahead of About.com as #2.[23]

In December, 2022, Similarweb ranked Wikipedia the 7th most trafficked site on the global Internet.[24]

Demographics[edit]

The "Traffic report" of Wikipedia's newspaper The Signpost routinely presents lists of Wikipedia's most popular articles

2/3 of Wikipedia readers are men.[6] Also, men view more articles than women in a typical Wikipedia reading session.[6] While critics frequently discuss various sorts of gender bias on Wikipedia, as of 2021 there are not well developed explanations for why men and women differ so much in their interest for Wikipedia content.[6] Men read more Wikipedia articles on sports, games, and mathematics.[6] Women read more articles about television shows and medicine.[6] Biographies are popular with everyone and account for a third of Wikipedia visits, but men are more likely to read biographies of men and women are more likely to read biographies of women.[6] No strong readership trends are identified for non-binary gender people.[6]

When readers in countries with a higher Human Development Index navigate through several articles in Wikipedia, they tend to spend more time on the last article they visit.[7] The likely explanation is that these readers stop browsing Wikipedia after finding an article which choose to read.[7] It is not certain why readers in countries with less development do not have the same behavior, but a possible explanation is that since many Wikipedia language versions have underdeveloped content, the last article these readers examine does not contain the information they want.[7] In comparing geographical distribution of readers, people in the Global South tend to have longer reading sessions.[7]

Factors which have been shown to influence what percentage of language users will access a particular language version of Wikipedia include how many articles a given language version has, how engaged that language community is with Internet culture in general, how much that community already uses other language versions of Wikipedia, and appropriate outreach programs to community influencers.[25] A 2016 study generalized trends in various Wikipedia language communities by noting that current events are popular in English language Wikipedia, Japanese readers seek pop culture, Spanish readers consume more sports content, and Russian readers seek information about social media websites.[26]

Representatives of Wikipedia's governance process have opposed and resisted governmental requests that Wikipedia adopt an age verification system to restrict minors from accessing Wikipedia.[27][28]

Reader behavior[edit]

Arriving and browsing[edit]

Search engines routinely rank Wikipedia highly on the search engine results page following a user web query.[29][3] Most readers arrive at Wikipedia when they are looking for information online, and a search engine recommends Wikipedia to answer their question.[3] Search tools which popularize Wikipedia include Google Search,[30] Amazon Alexa,[30] Siri,[30] and DuckDuckGo.[31] When search engines direct their users to Wikipedia articles, then that relationship improves the experience that users have with that search engine, and it also results in high traffic to Wikipedia.[32]

Active discussions in the news or social media drive traffic to Wikipedia.[3][33][34] 60-70% of readers end their session after reviewing the article they requested.[3] The remaining readers access multiple Wikipedia articles by following hyperlinks in whatever text they are reading.[3] Wikipedia articles generally receive more traffic when other high-traffic Wikipedia articles hyperlink to them, but anticipating Wikipedia reader behavior can be complex and unpredictable.[35] Readers often return to articles which they have previously read.[3]

Wikipedia readers report higher satisfaction than is usual for audiences of comparable media sources.[36] Typically when readers are dissatisfied in a media platform, researchers can use conventional analysis to identify the problem which those readers experienced.[36] In contrast, both satisfied and dissatisfied Wikipedia readers have similar behavior, which makes detecting problems in Wikipedia more challenging.[36]

General reading patterns[edit]

A 2016 survey of 5000 Wikipedia readers found that half of them were visiting Wikipedia articles on familiar topics, while the other half were learning a new topic.[37] Half of the readers came to Wikipedia to read more about something they saw elsewhere in the media, or which they had just discussed with another person.[37] Other commonly reported reasons for using Wikipedia included students using it to supplement their school projects, reading for entertainment or pastime, wanting to learn something new, or using Wikipedia to inform a particular decision that a person was making.[37][38][39] 80% of readers were either trying to get an overview of a topic or do quick fact-checking, while 20% of readers were trying to understand a topic deeply and spend more time reading.[37] On weekdays and in the daytime readers use Wikipedia for work or school, whereas on nights and evenings people use Wikipedia in response to media and social discussions.[37]

One study examined time spent in Wikipedia by many users in various Wikipedia language versions for the one-year period starting November 2017 and ending October 2018. One finding of that study was that although the length of the median user session on Wikipedia was 25 seconds, the average user session was more than a minute.[7] One interpretation of this is that there are different users visiting Wikipedia for different purposes, with some leaving quickly after arrival and some having significantly longer reading sessions.[7] The total amount of time spent reading Wikipedia by all humanity in that year was 672,349 years.[7]

Wikipedia readers include those who need to learn how to do or use things where they cannot otherwise find freely available content.[40][41] Reading 10 or more Wikipedia articles in a session is uncommonly high reading interest, but because Wikipedia has a large audience, there are still tens of millions of sessions where readers do this.[3] Readers tend to start their Wikipedia reading session at a popular article, and if they browse further, they tend to end their reading session at a less-developed and less popular article.[3] Wikipedia articles feature image thumbnails; readers click those images to access image metadata and higher quality image versions at a rate of 1 image per 30 article views.[5] In comparison, readers click through links other than images at a rate of 1 in 300.[5] Readers are more likely to click on images that are interesting, such as those in visual arts, or which are complicated, such as maps or diagrams.[5] Whereas research about most other media suggests that readers enjoy clicking on familiar celebrity faces, in Wikipedia, the opposite is true as celebrity images have lower reader engagement and portraits of less known people have higher engagement.[5]

Interest in topics[edit]

In 2014, a study Wikipedia's health information found to receive more pageviews than other popular health information sources.[42]
English, Japanese, Russian, and German language versions of Wikipedia had the most pageviews to the article "sepsis" over the years 2015-18.[43]

Major news events and social trends result in increased traffic to related Wikipedia articles.[44][45] Similarly, when public figures are in the news, then traffic to their Wikipedia biographies increases.[46] New editors may begin contributing information to Wikipedia in an attempt to reach all these readers.[47] Deaths of public figures can result in especially high Wikipedia readership.[46][48][49] Among Wikipedia editors there is prestige in making a report which gets lots of traffic, such as being the person to add news of a person's death to their Wikipedia biography.[50] Media reports of celebrity disease experiences drive traffic to related Wikipedia medical articles.[51][52][53][54]

Wikipedia invites Internet activism on the premise that editors can use Wikipedia as a channel for distributing information to readers.[55][56] Activists have organized Wikipedia information campaigns for feminism,[57][58][59][60] cultural heritage,[61] climate change,[62] LGBT culture,[63][64][65] and cultural or language communities which are underrepresented on the Internet.[66][67] University research programs have described Wikipedia editing activism as attractive to students.[68][69][70][71] Data analysis can combine the individual activist contributions of many Wikipedia editors into aggregate reports or visualizations which represent entire fields of information.[72]

A 2015 study reported that pageviews to health information on Wikipedia made it the most popular source of health information, exceeding traffic to websites for the National Institutes of Health, Centers for Disease Control, the World Health Organization, and the National Health Service, as well as for WebMD.[42] A 2020 systematic review of health research concluded that Wikipedia is a popular health information resource due to its large audience of health information readers.[8] Evidence has established that the number of patients, medical students, and doctors who read Wikipedia is large enough to consider Wikipedia a significant channel for health communication.[8][9][73] Various researchers have examined Wikipedia readers to medical articles for specific topics.[43][74][75][76]

Lawyers and judges read Wikipedia in their professional practice. Citations to Wikipedia and text copied from Wikipedia appear in judicial opinions.[77][78] People in courtrooms read and discuss what Wikipedia says to share general information on whatever topics are relevant in a trial.[79]

Researchers can examine the popularity of Wikipedia articles in various languages by reviewing Wikipedia article pageview statistics.[80] Commentators who have reviewed popular Wikipedia articles by time period or topic include Pew Research Center,[26] Yahoo!,[81] BuzzFeed,[82] Crunchyroll,[83] Gizmodo,[84] First Monday,[85] and India Times.[86]

At times, it can be a mystery as to why people read or access topics.[87][88] A study which examined hoaxes on Wikipedia reported that some longstanding hoaxes in low-traffic articles had received a total of 10,000 pageviews over years before discovery, and that high traffic articles are less likely to include hoaxes.[89]

Wikipedia as a gateway[edit]

Readers use Wikipedia as a gateway to accessing information resources elsewhere, such as in libraries.[4]

Wikipedia includes external links which readers may use to exit Wikipedia and access content at other websites.[4] When readers leave Wikipedia to access content elsewhere, they do so in equal amounts through links in Wikipedia infoboxes, the cited sources in the references section, or through the external links section.[4]

Readers more often use external links in Wikipedia when it leads them to a site with quality content collections.[4] Library resources are popular resources which Wikipedia readers access through exit links from Wikipedia.[4][90] Various commentators have noted that Wikipedia editors and readers prefer links to open access free resources in favor of links to closed paywall content.[91]

Wikipedia is unusual for being a public resource which recommends links to scholarly publications to casual readers.[92] Citation use in Wikipedia is extensive.[92] Readers access citations at rate of 1 per 300 Wikipedia pageviews.[93] Readers are more likely to check citations in this way for Wikipedia articles which are shorter, lower quality, presenting current events, and when the sources themselves are open access.[93] Readers who check citations often do not read the original sources; instead, they access the citation to verify that the cited source is from a reputable publisher or authority.[9] One study found no evidence that Wikipedia readers used cited sources for medical topics more commonly than they do for other topics.[94]

Readers are also contributors[edit]

Wikipedia is a media platform which invites readers to contribute user-generated content.[10] Most readers simply consume Wikipedia's media without actively choosing to contribute content.[10] Nevertheless, because of Wikipedia's nature and design, those readers are also passively contributing the project.[10] One way that all readers contribute to Wikipedia is by increasing the pageview count of whatever they read, as Wikipedia counts the number of visitors to all of its pages.[10] Because of this, each time a reader accessing an article, they support Wikipedia by demonstrating their interest and helping editors identify which topics Wikipedia readers want.[10]

Additionally, Wikipedia readers over time tend to learn about Wikipedia's mission, editorial practices, and its distinctness as a media platform.[10] Even without actively editing, those who use Wikipedia and learn how it works are engaging in "legitimate peripheral participation", which in Wikipedia's case means that there are a significant number of people who understand and can discuss Wikipedia without themselves being editors.[10] Wikipedia is sometimes criticized for having a free-rider problem of readers who never contribute, but a counterargument is that Wikipedia has found ways to benefit from readers in ways which traditional media sources do not.[10] A survey of people who contribute images and photography to Wikimedia Commons, which is the image repository serving Wikipedia, found that many of them became contributors after being inspired by images which they found as Wikipedia readers.[95]

At the time of Wikipedia's establishment in 2001 concepts such as Web 2.0, social media, and user-generated content were new and unfamiliar ideas.[11][96] Contemporary descriptions of Wikipedia emphasized and explained that it was possible for readers to visit Wikipedia as a website and publication, and for those readers to also become editors who produce Wikipedia content for others.[96] Many researchers have written many descriptions of Wikipedia as a complex social and media ecosystem where content creators and readers interact.[11] Wikipedia's readers and Wikipedia editors have different interests.[97] A study classified Wikipedia articles by popularity among readers versus development by editors.[97] This study found that commonly, articles may be popular with readers but lack editors interested in developing them.[97] Conversely it is common for Wikipedia editors to develop articles in the absence of reader interest.[97]

Wikimedia ecosystem[edit]

Among the set of Wikimedia projects, Wikipedia is the encyclopedia, while each of the other projects have their own specialty focus. Images from the Wikimedia Commons image repository appear throughout Wikipedia as illustrations.[5] While readers may browse the complete media collection in Wikimedia Commons, all of Commons' media is free content, and consequently, anyone can and many people do reuse this media in other publications.[98][99] Economic analysts have estimated the value of Wikimedia Commons images as billions of United States dollars, because of the market rates for stock photography, the high rate of reuse from Wikimedia Commons, and the frequency with which readers encounter these images outside of the Wikimedia platform.[98][99][100] A 2022 report said that there was not much available research about reader engagement with Wikimedia images, but that the available datasets are rich, and that researchers could use that data to ask and answer questions in various fields of study.[5]

Wikidata contributors curate the sort of data which they believe would be useful to share in Wikipedia articles, but as data in Wikidata is not easy for humans to read, much of it is inaccessible.[101][102] Wikidata tools are in development to connect Wikidata content for presentation in Wikipedia, which would support Wikipedia readers who want but cannot access this content.[101][102] Analysis of Wiktionary reader use reveals patterns of dictionary use which signal reactions to events in the broader media environment.[103] Reviewers have imagined Wikiversity as a place where readers may learn through online classes.[104][105] Reports of Wikiversity outcomes are from instructors who invited students into the lessons they organized there.[106][107] Wishes for the readership to become editors are central to the critiques and reviews of the Wikimedia projects Wikinews,[108][109] Wikivoyage,[110][111] and Wikisource.[112][113][114][115]

Technology and data[edit]

Wikipedia pageviews[edit]

The Pageviews Analysis tool is a Wikimedia web tool which gives pageview data for Wikipedia articles.

Wikipedia publishes the pageviews of its articles.[80] Wikipedia's public reports show how many times its audience has requested any article, in any language, in any given hour.[80] For example, a study of Wikipedia's coverage of climate change found that from 2017-2022, readers made 500 million visits to 4000 Wikipedia articles in 25 languages.[116]

A study in 2007 claimed that Wikipedia was so popular that its web traffic data gave insight to broad public interest on many topics.[117] That study argued that Wikipedia pageview data could be the the basis for impact evaluation of Wikipedia's coverage of various topics.[117] Various later studies have confirmed that Wikipedia's articles are very popular, and that Wikipedia mirrors trends in public interest, and that content in Wikipedia affects public understanding broadly.[2] Wikipedia pageview counts are often high enough to serve as evidence that Wikipedia is a popular media source for many topics.[2] Also, because so many individual people use Wikipedia, its pageviews can be imagined as statistical sampling of how many times a member of the public wants information on a given topic.[2][118]

Various studies have observed a relationship between Wikipedia pageviews and cultural trends in society.[119][120] Individual studies reported connections between Wikipedia traffic and popular interest in animals,[121][122][123][124] chemicals,[74] elections,[125] investments,[126] cultural heritage,[127] natural heritage,[128][129] and general commercial interest.[130] Numerous studies have examined traffic to health information on Wikipedia.[131][132] News media trends drive traffic to Wikipedia.[133]

Wikipedia as a reusable data set[edit]

Artificial intelligence in Wikimedia projects includes data science projects which use Wikipedia as a data set.[134] Wikipedia is unusual for being a nonprofit project which shares free content which anyone can use for any purpose.[135]

The Google Knowledge Graph is an example of a product which has copied Wikipedia, and which presents Wikipedia content as a zero-click result to people who do not actually visit Wikipedia.[32] Since the 2022 advent of ChatGPT along with other artificial intelligence applications, many readers consume Wikipedia content through third-party applications.[135] This happens when artificial intelligence tool developers take Wikipedia's free content, incorporate this Wikipedia knowledge into their products, and then present Wikipedia information to readers.[135] People who consume Wikipedia information through third-party sources are typically unaware of its origin.[135] An estimate by SimilarWeb reported that readers consumed Wikipedia content 3 billion times through Google Knowledge Graph in 2019.[136]

Private data[edit]

A 2015 review of research on Wikipedia's readers remarked that there was much research on editor behavior, but little on reader behavior.[12] That review explained that click path and session time data were difficult for researchers to access, but that this data was desirable.[12]

Whereas many websites apply computer and network surveillance to their users, Wikipedia does much less of this.[137] Wikipedia values information privacy, and consequently, some of the research and analysis which is possible elsewhere is not possible in Wikipedia.[137] Even privately, Wikipedia does not routinely collect click path data or conventional personal data for individual users.[137]

The Wikimedia Foundation took measurements of reader time spent in Wikipedia in 2017.[7] Also in 2017, there was a survey which collected responses from 30,000 Wikipedia readers asking why they were reading.[37] A 2019 survey of Wikipedia readers collected demographic data.[6]

External tools[edit]

In 2020 when the government of India censored TikTok, an alternative product drove huge readership to Wikipedia's image of Symphyotrichum novi-belgii[138]

The measurement of traffic to Wikipedia articles can contribute to predictive modelling.[119] Various researchers have used Wikipedia pageview reports of politicians in political forecasting of election outcomes,[139][140][125][141] identifying emerging infectious disease or other health interests,[142][143][144][145] or as market research on consumer interest.[146][147][148] For complex systems, Wikipedia traffic can be an indicator of some interesting effect, even when there is uncertainty of what that effect is.[149]

Sometimes popular technological resources arbitrarily use Wikipedia as an example for showcasing functions, and those examples drive readers into Wikipedia.[138][88][87]

References[edit]

  1. ^ Jahangir, Ramsha (23 April 2020). "Wikipedia breaks five-year record with high traffic in pandemic". Dawn. Archived from the original on 23 April 2020. Retrieved 23 April 2020.
  2. ^ a b c d e Okoli, Chitu; Mehdi, Mohamad; Mesgari, Mostafa; Nielsen, Finn Årup; Lanamäki, Arto (December 2014). "Wikipedia in the eyes of its beholders: A systematic review of scholarly research on Wikipedia readers and readership: Wikipedia in the Eyes of Its Beholders" (PDF). Journal of the Association for Information Science and Technology. 65 (12): 2381–2403. doi:10.1002/asi.23162. S2CID 15188293.
  3. ^ a b c d e f g h i Piccardi, Tiziano; Gerlach, Martin; Arora, Akhil; West, Robert (2023). "A Large-Scale Characterization of How Readers Browse Wikipedia". ACM Transactions on the Web. arXiv:2112.11848. doi:10.1145/3580318. S2CID 245385631.
  4. ^ a b c d e f Piccardi, Tiziano; Redi, Miriam; Colavizza, Giovanni; West, Robert (19 April 2021). "On the Value of Wikipedia as a Gateway to the Web". Proceedings of the Web Conference 2021: 249–260. doi:10.1145/3442381.3450136. ISBN 9781450383127. S2CID 231924750.
  5. ^ a b c d e f g Rama, Daniele; Piccardi, Tiziano; Redi, Miriam; Schifanella, Rossano (December 2022). "A large scale study of reader interactions with images on Wikipedia". EPJ Data Science. 11 (1): 1. doi:10.1140/epjds/s13688-021-00312-8. S2CID 244896345.
  6. ^ a b c d e f g h i j Johnson, Isaac; Lemmerich, Florian; Sáez-Trumper, Diego; West, Robert; Strohmaier, Markus; Zia, Leila (22 May 2021). "Global Gender Differences in Wikipedia Readership". Proceedings of the International AAAI Conference on Web and Social Media. 15: 254–265. arXiv:2007.10403. doi:10.1609/icwsm.v15i1.18058. ISSN 2334-0770. S2CID 220665626.
  7. ^ a b c d e f g h i TeBlunthuis, Nathan; Bayer, Tilman; Vasileva, Olga (20 August 2019). "Dwelling on Wikipedia: investigating time spent by global encyclopedia readers". Proceedings of the 15th International Symposium on Open Collaboration: 1–14. doi:10.1145/3306446.3340829. S2CID 202159183.
  8. ^ a b c Smith, Denise A. (18 February 2020). "Situating Wikipedia as a health information resource in various contexts: A scoping review". PLOS ONE. 15 (2): e0228786. Bibcode:2020PLoSO..1528786S. doi:10.1371/journal.pone.0228786. PMC 7028268. PMID 32069322.
  9. ^ a b c Maggio, Lauren A; Steinberg, Ryan M; Piccardi, Tiziano; Willinsky, John M (6 March 2020). "Reader engagement with medical content on Wikipedia". eLife. 9: e52426. doi:10.7554/eLife.52426. PMC 7089765. PMID 32142406.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  10. ^ a b c d e f g h i Antin, Judd; Cheshire, Coye (6 February 2010). "Readers are not free-riders: reading as a form of participation on wikipedia". Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work: 127–130. doi:10.1145/1718918.1718942. S2CID 16773312.
  11. ^ a b c Jemielniak, Dariusz (2014). Common knowledge? : an ethnography of Wikipedia. Stanford, California. ISBN 978-0804789448.{{cite book}}: CS1 maint: location missing publisher (link)
  12. ^ a b c d Miquel-Ribé, Marc (2021). "User Engagement on Wikipedia, A Review of Studies of Readers and Editors". Proceedings of the International AAAI Conference on Web and Social Media. 9 (5): 67–74. doi:10.1609/icwsm.v9i5.14695. ISSN 2334-0770. S2CID 17172437.
  13. ^ a b Wikimedia Foundation (2017). "Wikimedia Foundation 2016-2017 Annual Report". Wikimedia Foundation 2016-2017 Annual Report. Wikimedia Foundation.
  14. ^ Agence France-Presse (February 4, 2013). "Wikipedia aims for billion users with mobile spread". Hürriyet Daily News.
  15. ^ Barnett, David (19 February 2018). "What is Wikipedia? The best way to find out is to consult it". The Independent.
  16. ^ Wales, Jimmy (21 August 2006). "The birth of Wikipedia". www.ted.com. TED (conference).
  17. ^ Knowledge at Wharton (January 25, 2006). "Can Wikipedia Survive Its Own Success?". Knowledge at Wharton. Wharton School of the University of Pennsylvania.
  18. ^ Dalby, Andrew (April 2007). "Wikipedia(s) on the language map of the world". English Today. 23 (2): 3–8. doi:10.1017/S0266078407002027. S2CID 145231651.
  19. ^ Konieczny, Piotr (11 October 2010). "Adhocratic Governance in the Internet Age: A Case of Wikipedia" (PDF). Journal of Information Technology & Politics. 7 (4): 263–283. doi:10.1080/19331681.2010.489408. S2CID 143974677.
  20. ^ Davenport, Matt (September 14, 2015). "Working With Wikipedia". Chemical & Engineering News. 93 (36).
  21. ^ "Wikipedia is 20, and its reputation has never been higher". The Economist. 9 January 2021.
  22. ^ Perez, Juan Carlos (17 February 2007). "Wikipedia Breaks Into U.S. Top 10 Sites". PC World. Archived from the original on 7 Oct 2012.
  23. ^ Burns, Enid (10 May 2005). "Wikipedia's Popularity and Traffic Soar". ClickZ. Search Engine Watch.
  24. ^ "Top Websites Ranking". 26 December 2022.{{cite web}}: CS1 maint: url-status (link)
  25. ^ Khatri, Sejal; Shaw, Aaron; Dasgupta, Sayamindu; Hill, Benjamin Mako (27 April 2022). "The social embeddedness of peer production: A comparative qualitative analysis of three Indian language Wikipedia editions". CHI Conference on Human Factors in Computing Systems: 1–18. doi:10.1145/3491102.3501832. ISBN 9781450391573. S2CID 248419716.
  26. ^ a b Anderson, Monica; Hitlin, Paul; Atkinson, Michelle (14 January 2016). "Wikipedia at 15: Millions of readers in scores of languages". Pew Research Center.
  27. ^ Vallance, Chris (17 January 2023). "Wikipedia criticises 'harsh' new Online Safety Bill plans". BBC News.
  28. ^ Vallance, Chris; Gerken, Tom (28 April 2023). "Wikipedia will not perform Online Safety Bill age checks". BBC News.
  29. ^ Lewandowski, Dirk; Spree, Ulrike (January 2011). "Ranking of Wikipedia articles in search engines revisited: Fair ranking for reasonable quality?". Journal of the American Society for Information Science and Technology. 62 (1): 117–132. arXiv:1109.0916. doi:10.1002/asi.21423. S2CID 4618721.
  30. ^ a b c Ford, Heather (15 October 2020). "13 Rise of the Underdog". In Reagle, Joseph; Koerner, Jackie (eds.). Wikipedia @ 20. PubPub. ISBN 978-0-262-53817-6.
  31. ^ Johnson, Isaac; Perry, Nicholas; Gordon, Kinneret; Katz, Jon (23 September 2021). "Searching for Wikipedia: DuckDuckGo and the Wikimedia Foundation share new research on how people use search engines to get to Wikipedia". Diff.
  32. ^ a b McMahon, Connor; Johnson, Isaac; Hecht, Brent (3 May 2017). "The Substantial Interdependence of Wikipedia and Google: A Case Study on the Relationship Between Peer Production Communities and Information Technologies". Proceedings of the International AAAI Conference on Web and Social Media. 11 (1): 142–151. doi:10.1609/icwsm.v11i1.14883.
  33. ^ Moyer, Daniel; Carson, Samuel; Dye, Thayne; Carson, Richard; Goldbaum, David (3 August 2021). "Determining the Influence of Reddit Posts on Wikipedia Pageviews". Proceedings of the International AAAI Conference on Web and Social Media. 9 (5): 75–82. doi:10.1609/icwsm.v9i5.14700.
  34. ^ Harrison, Stephen (2022-05-03). "The Controversy Brewing on Elon Musk's Wikipedia Page". Slate Magazine. Retrieved 2022-12-26.
  35. ^ Yang, Yujia; Lu, Shi; Zhao, Huan; Ju, Xiaoqian (18 September 2020). "Predicting Monthly Pageview of Wikipedia Pages by Neighbor Pages". ICBDT '20: Proceedings of the 3rd International Conference on Big Data Technologies: 112–115. doi:10.1145/3422713.3422745.
  36. ^ a b c Salutari, Flavia; Hora, Diego Da; Dubuc, Gilles; Rossi, Dario (June 2020). "Analyzing Wikipedia Users' Perceived Quality of Experience: A Large-Scale Study". IEEE Transactions on Network and Service Management. 17 (2): 1082–1095. doi:10.1109/TNSM.2020.2978685.
  37. ^ a b c d e f Singer, Philipp; Lemmerich, Florian; West, Robert; Zia, Leila; Wulczyn, Ellery; Strohmaier, Markus; Leskovec, Jure (3 April 2017). "Why We Read Wikipedia" (PDF). Proceedings of the 26th International Conference on World Wide Web: 1591–1600. doi:10.1145/3038912.3052716. ISBN 9781450349130. S2CID 11016517.
  38. ^ Lemmerich, Florian; Sáez-Trumper, Diego; West, Robert; Zia, Leila (2019-01-30). "Why the World Reads Wikipedia: Beyond English Speakers". Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Melbourne VIC Australia: ACM: 618–626. doi:10.1145/3289600.3291021. ISBN 978-1-4503-5940-5. S2CID 54219274.
  39. ^ Petrucco, Corrado; Ferranti, Cinzia (2020-12-21). "Wikipedia as OER: the "Learning with Wikipedia" project". Journal of e-Learning and Knowledge Society: 38–45 Pages. doi:10.20368/1971-8829/1135322.
  40. ^ Clark, Justin; Faris, Robert; Heacock Jones, Rebekah (2017). "Analyzing Accessibility of Wikipedia Projects Around the World". SSRN Electronic Journal. doi:10.2139/ssrn.2951312.
  41. ^ Schwirtz, Michael; Troianovski, Anton; Al-Hlou, Yousur; Froliak, Masha; Entous, Adam; Gibbons-Neff, Thomas (2022-12-17). "Putin's War: The Inside Story of a Catastrophe". The New York Times. ISSN 0362-4331. Retrieved 2022-12-26.
  42. ^ a b Heilman, JM; West, AG (4 March 2015). "Wikipedia and medicine: quantifying readership, editors, and the significance of natural language". Journal of Medical Internet Research. 17 (3): e62. doi:10.2196/jmir.4069. PMC 4376174. PMID 25739399.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  43. ^ a b Jabaley, Craig S.; Groff, Robert F.; Barnes, Theresa J.; Caridi-Scheible, Mark E.; Blum, James M.; O’Reilly-Shah, Vikas N. (22 August 2019). "Sepsis information-seeking behaviors via Wikipedia between 2015 and 2018: A mixed methods retrospective observational study". PLOS ONE. 14 (8): e0221596. doi:10.1371/journal.pone.0221596.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  44. ^ Miz, Volodymyr; Hanna, Joëlle; Aspert, Nicolas; Ricaud, Benjamin; Vandergheynst, Pierre (20 April 2020). "What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions". Companion Proceedings of the Web Conference 2020: 794–801. doi:10.1145/3366424.3383567. ISBN 9781450370240. S2CID 211133022.
  45. ^ Conti, Gianluca; Sansonetti, Giuseppe; Micarelli, Alessandro (2020). "An Analysis of Trends and Connections in Google, Twitter, and Wikipedia". HCI International 2020 - Posters. Communications in Computer and Information Science. 1226: 154–160. doi:10.1007/978-3-030-50732-9_21. ISBN 978-3-030-50731-2. S2CID 220519796.
  46. ^ a b Goldenberg, Russell (August 2018). "Life After Death on Wikipedia". The Pudding.
  47. ^ Zhang, Ark Fangzhou; Wang, Ruihan; Blohm, Eric; Budak, Ceren; Jr, Lionel P. Robert; Romero, Daniel M. (6 July 2019). "Participation of New Editors after Times of Shock on Wikipedia". Proceedings of the International AAAI Conference on Web and Social Media. 13: 560–571. doi:10.1609/icwsm.v13i01.3253. ISSN 2334-0770. S2CID 96439496.
  48. ^ Shiels, Maggie (26 June 2009). "Web slows after Jackson's death". BBC.
  49. ^ Steiner, Thomas; van Hooland, Seth; Summers, Ed (2013). "MJ no more: using concurrent wikipedia edit spikes with social network plausibility checks for breaking news detection". Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion: 791–794. doi:10.1145/2487788.2488049. S2CID 15540545.
  50. ^ Harrison, Stephen (16 August 2018). "Meet the People Who Quickly Update Wikipedia Pages When a Celebrity Like Aretha Franklin Dies". Slate Magazine.
  51. ^ Mahroum, Naim; Bragazzi, Nicola Luigi; Sharif, Kassem; Gianfredi, Vincenza; Nucci, Daniele; Rosselli, Roberto; Brigo, Francesco; Adawi, Mohammad; Amital, Howard; Watad, Abdulla (June 2018). "Leveraging Google Trends, Twitter, and Wikipedia to Investigate the Impact of a Celebrityʼs Death From Rheumatoid Arthritis". JCR: Journal of Clinical Rheumatology. 24 (4): 188–192. doi:10.1097/RHU.0000000000000692. PMID 29461342. S2CID 3442166.
  52. ^ Bragazzi, Nicola Luigi; Watad, Abdulla; Brigo, Francesco; Adawi, Mohammad; Amital, Howard; Shoenfeld, Yehuda (August 2017). "Public health awareness of autoimmune diseases after the death of a celebrity". Clinical Rheumatology. 36 (8): 1911–1917. doi:10.1007/s10067-016-3513-5. PMID 28000011. S2CID 26035091.
  53. ^ Naik, Hiten; Johnson, Maximilian Desmond Dimitri; Johnson, Michael Roger (15 June 2021). "Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study". Journal of Medical Internet Research. 23 (6): e27052. doi:10.2196/27052.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  54. ^ Mondia, Mark Willy L.; Espiritu, Adrian I.; Jamora, Roland Dominic G. (19 April 2022). "Brain Tumor Infodemiology: Worldwide Online Health-Seeking Behavior Using Google Trends and Wikipedia Pageviews". Frontiers in Oncology. 12. doi:10.3389/fonc.2022.855534.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  55. ^ Duncan, Alexandra (October 2020). "Towards an activist research: Is Wikipedia the problem or the solution?" (PDF). Art Libraries Journal. 45 (4): 155–161. doi:10.1017/alj.2020.24. S2CID 229012693.
  56. ^ Konieczny, Piotr (January 2009). "Wikipedia: Community or social movement?". Interface: A Journal for and About Social Movements.
  57. ^ Meyer, Christine (May 2022), "If You Want to Change the World, Edit Wikipedia": Mitigating the Gender Gap and Systemic Bias on Wikipedia (thesis), Moscow, Idaho: University of Idaho
  58. ^ Sentilles, Sarah (21 May 2014). "Writing Her In: Wikipedia As Feminist Activism - Ms. Magazine". msmagazine.com. Ms.
  59. ^ Sisley, Dominique (10 March 2017). "Why hundreds of activists are mass-editing Wikipedia this weekend". Huck Magazine.
  60. ^ Edwards, Jennifer C. (2015). "Wiki Women: Bringing Women Into Wikipedia through Activism and Pedagogy". The History Teacher. 48 (3): 409–436. ISSN 0018-2745. JSTOR 24810523.
  61. ^ Marwick, Ben; Smith, Prema (January 2021). "World Heritage sites on Wikipedia: Cultural heritage activism in a context of constrained agency". Big Data & Society. 8 (1): 205395172110173. doi:10.1177/20539517211017304. S2CID 235699834.
  62. ^ Kutz, Jessica (23 June 2022). "Digital activists are using Wikipedia to change the narrative around women and climate work". The 19th.
  63. ^ Wexelbaum, Rachel (May 2019). "Chapter 5 Coming Out of the Closet: Librarian Advocacy to Advance LGBTQ+ Wikipedia Engagement". Advances in Librarianship. 45: 115–139. doi:10.1108/S0065-283020190000045011. ISBN 978-1-78756-474-9. S2CID 150552977.
  64. ^ Miquel-Ribé, Marc; Kaltenbrunner, Andreas; Keefer, Jeffrey M. (2021-12-21). "Bridging LGBT+ Content Gaps Across Wikipedia Language Editions". The International Journal of Information, Diversity, & Inclusion (IJIDI). 5 (4): 90–131. doi:10.33137/ijidi.v5i4.37270. ISSN 2574-3430. S2CID 245573982.
  65. ^ "Four things to know about LGBT+ Activism on Wikipedia, with Lane Rasberry". School of Data Science. University of Virginia. June 30, 2022.
  66. ^ Montez, Noe (2017). "Decolonizing Wikipedia through Advocacy and Activism: The Latina/o Theatre Wikiturgy Project". Theatre Topics. 27: E–1. doi:10.1353/tt.2017.0012. S2CID 194415167.
  67. ^ Gharbeia, Ahmad (23 January 2020). "Wikis as Catalysts for Activism: The Case of Arabic Wiki Gender". Arab Reform Initiative.
  68. ^ Xing, Jiawei; Vetter, Matthew (25 May 2020). "Editing for equity: Understanding instructor motivations for integrating cross-disciplinary Wikipedia assignments". First Monday. doi:10.5210/fm.v25i6.10575. S2CID 225895948.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  69. ^ Ackerly, Brooke A.; Michelitch, Kristin (April 2022). "Wikipedia and Political Science: Addressing Systematic Biases with Student Initiatives". PS: Political Science & Politics. 55 (2): 429–433. doi:10.1017/S1049096521001463. S2CID 247795102.
  70. ^ "How Wikipedia Can Influence Social Action in a BIG Way". americancultures.berkeley.edu. University of California, Berkeley.
  71. ^ Phillips, Alexandra (8 April 2015). "An activist approach to Wikipedia inspires student engagement". University Affairs.
  72. ^ Sabbata, Stefano De; Çöltekin, Arzu; Eccles, Kathryn; Hale, Scott; Straumann, Ralph (2015). "Collaborative Visualizations for Wikipedia Critique and Activism". Proceedings of the International AAAI Conference on Web and Social Media. 9 (5): 11–16. doi:10.1609/icwsm.v9i5.14692. ISSN 2334-0770.
  73. ^ Smith, Denise A. (3 April 2023). "It's Time to Recognize Wikipedia as a Health Information Resource". Journal of Consumer Health on the Internet. 27 (2): 210–220. doi:10.1080/15398285.2023.2211498.
  74. ^ a b Cao, Yuru; Mehta, Hely; Norcross, Ann E.; Taniguchi, Masahiko; Lindsey, Jonathan S. (2020-02-21). Achilefu, Samuel; Raghavachari, Ramesh (eds.). "Analysis of Wikipedia pageviews to identify popular chemicals". Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XII. 11256: 17. Bibcode:2020SPIE11256E..0IC. doi:10.1117/12.2542835. ISBN 9781510632752. S2CID 214547826.
  75. ^ Shorland, Adam (22 March 2020). "Covid-19 Wikipedia pageviews, a first look". Addshore.
  76. ^ Kinney, Michael Owen; Brigo, Francesco (February 2020). "What can Google Trends and Wikipedia-Pageview analysis tell us about the landscape of epilepsy surgery over time?". Epilepsy & Behavior. 103: 106533. doi:10.1016/j.yebeh.2019.106533.
  77. ^ Peoples, Lee (1 January 2010). "THE CITATION OF WIKIPEDIA IN JUDICIAL OPINIONS". Yale Journal of Law and Technology. 2009 (1).
  78. ^ Thompson, Neil; Flanagan, Brian; Richardson, Edana; McKenzie, Brian; Luo, Xueyun (2022). "Trial by Internet: A Randomized Field Experiment on Wikipedia's Influence on Judges' Legal Reasoning". SSRN Electronic Journal. doi:10.2139/ssrn.4174200.
  79. ^ Gerken, Joseph (1 April 2010). "How Courts Use Wikipedia". The Journal of Appellate Practice and Process. 11 (1): 191.
  80. ^ a b c Lewoniewski, Włodzimierz; Węcel, Krzysztof; Abramowicz, Witold (8 December 2017). "Relative Quality and Popularity Evaluation of Multilingual Wikipedia Articles". Informatics. 4 (4): 43. doi:10.3390/informatics4040043.
  81. ^ Canal, Alexandra (19 January 2020). "Here's what dominated Wikipedia's most-read articles last year". finance.yahoo.com. Yahoo!.
  82. ^ Stopera, Matt (29 December 2020). "The 40 Most Read Wikipedia Pages Of 2020". BuzzFeed.
  83. ^ CharAznableOfficial (22 February 2020). "The Most Popular Anime in 2020…According to Wikipedia". Crunchyroll.
  84. ^ Wodinsky, Shoshana (28 December 2020). "2020's Most Popular Wikipedia Pages: Pandemics, Politics, And Parasite". Gizmodo.
  85. ^ Spoerri, Anselm (2 April 2007). "What is popular on Wikipedia and Why?". First Monday. 12 (4).
  86. ^ Sharma, Bharat (24 December 2021). "Top Wikipedia Pages Of 2021: This Year's 10 Most Visited Articles". IndiaTimes.
  87. ^ a b Sepulveda, Victoria (2022-12-12). "Wikipedia has no clue why everyone is reading this French article". SFGATE. Retrieved 2022-12-26.
  88. ^ a b Rauwerda, Annie. "Why is Cleopatra constantly trending on Wikipedia?". Input. Retrieved 2022-12-26.
  89. ^ Kumar, Srijan; West, Robert; Leskovec, Jure (11 April 2016). "Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes". WWW '16: Proceedings of the 25th International Conference on World Wide Web: 591–602. doi:10.1145/2872427.2883085.
  90. ^ Szajewski, Michael (March 2013). "Using Wikipedia to Enhance the Visibility of Digitized Archival Assets". D-Lib Magazine. 19 (3/4). doi:10.1045/march2013-szajewski.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  91. ^ Murgu, Cal; Ivings, Krisandra (3 March 2019). ""Blind Trust is Not Enough": Considering Practical Verifiability and Open Referencing in Wikipedia". Journal of Critical Library and Information Studies. 2 (2). doi:10.24242/jclis.v2i2.62. S2CID 213234189.
  92. ^ a b Guglielmi, Giorgia (May 2018). "Wikipedia's top-cited scholarly articles — revealed". Nature. 557 (7705): 291–292. doi:10.1038/d41586-018-05161-6. PMID 29765126. S2CID 21722672.
  93. ^ a b Piccardi, Tiziano; Redi, Miriam; Colavizza, Giovanni; West, Robert (20 April 2020). "Quantifying Engagement with Citations on Wikipedia". Proceedings of the Web Conference 2020: 2365–2376. doi:10.1145/3366423.3380300. ISBN 9781450370233. S2CID 210860807.
  94. ^ Maggio, Lauren A.; Willinsky, John M.; Steinberg, Ryan M.; Mietchen, Daniel; Wass, Joseph L.; Dong, Ting (21 December 2017). "Wikipedia as a gateway to biomedical research: The relative distribution and use of citations in the English Wikipedia". PLOS ONE. 12 (12): e0190046. doi:10.1371/journal.pone.0190046. PMID 29267345.
  95. ^ Viegas, Fernanda B. (January 2007). "The Visual Side of Wikipedia". 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07): 85. doi:10.1109/HICSS.2007.559. S2CID 6706861.
  96. ^ a b Kuhne, Michael; Creel, Gill (December 2012). "Wikipedia, "the People Formerly Known as the Audience," and First-Year Writing". Teaching English in the Two-Year College. 40 (2).
  97. ^ a b c d Lehmann, Janette; Müller-Birn, Claudia; Laniado, David; Lalmas, Mounia; Kaltenbrunner, Andreas (September 2014). "Reader preferences and behavior on Wikipedia". Proceedings of the 25th ACM Conference on Hypertext and Social Media: 88–97. doi:10.1145/2631775.2631805. ISBN 9781450329545. S2CID 6042865.
  98. ^ a b Erickson, Kristofer; Perez, Felix Rodriguez; Perez, Jesus Rodriguez (22 August 2018). "What is the Commons Worth?: Estimating the Value of Wikimedia Imagery by Observing Downstream Use" (PDF). Proceedings of the 14th International Symposium on Open Collaboration: 1–6. doi:10.1145/3233391.3233533. S2CID 51877791.
  99. ^ a b Heald, Paul J.; Erickson, Kris; Kretschmer, Martin (2015). "The Valuation of Unprotected Works: A Case Study of Public Domain Photographs on Wikipedia" (PDF). SSRN Electronic Journal. doi:10.2139/ssrn.2560572. S2CID 59623867.
  100. ^ Magazine, Smithsonian; Eveleth, Rose (October 7, 2013). "How Much is Wikipedia Worth?". Smithsonian Magazine.
  101. ^ a b Sáez, Tomás; Hogan, Aidan (2018). "Automatically Generating Wikipedia Info-boxes from Wikidata". Companion of the The Web Conference 2018 on the Web Conference 2018 - WWW '18: 1823–1830. doi:10.1145/3184558.3191647. ISBN 9781450356404. S2CID 13786886.
  102. ^ a b Hellmann, Sebastian; Frey, Johannes; Hofer, Marvin; Dojchinovski, Milan; Węcel, Krzysztof; Lewoniewski, Włodzimierz (2021). "Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources". CEUR Workshop Proceedings. 2836. ISSN 1613-0073.
  103. ^ Muller-Spitzer, C.; Wolfer, S.; Koplenig, A. (1 March 2015). "Observing Online Dictionary Users: Studies Using Wiktionary Log Files". International Journal of Lexicography. 28 (1): 1–26. doi:10.1093/ijl/ecu029.
  104. ^ Friesen, Norm; Hopkins, Janet (27 September 2008). "Wikiversity; or education meets the free culture movement: An ethnographic investigation". First Monday. doi:10.5210/fm.v13i10.2234.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  105. ^ Lawler, Cormac (2008). "Action Research as a Congruent Methodology for Understanding Wikis: The Case of Wikiversity". Journal of Interactive Media in Education. 2008: 6. doi:10.5334/2008-6. ISSN 1365-893X.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  106. ^ Leinonen, Teemu; Vadén, Tere; Suoranta, Juha (7 February 2009). "Learning in and with an open wiki project: Wikiversity's potential in global capacity building". First Monday. doi:10.5210/fm.v14i2.2252.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  107. ^ Dieb, Daniel Almeida Abrahão; Peschanski, João Alexandre; Paixão, Fernando Jorge da (27 June 2022). "Using Wikiversity in teaching scientific journalism: openness, collaboration and connectivism". Texto Livre. 14. ISSN 1983-3652.
  108. ^ McIntosh, Shawn (June 2008). "COLLABORATION, CONSENSUS, AND CONFLICT: Negotiating news the wiki way". Journalism Practice. 2 (2): 197–211. doi:10.1080/17512780801999360. S2CID 145196354.
  109. ^ Thorsen, Einar (December 2008). "Journalistic objectivity redefined? Wikinews and the neutral point of view". New Media & Society. 10 (6): 935–954. doi:10.1177/1461444808096252. S2CID 35783539.
  110. ^ Luyt, Brendan (1 January 2020). "A new kind of travel guide or more of the same? Wikivoyage and Cambodia". Online Information Review. 45 (2): 356–371. doi:10.1108/OIR-03-2020-0104. ISSN 1468-4527.
  111. ^ Elia, Antonella (2018). "THE LANGUAGE OF TOURISM: WIKIVOYAGE AND THE EVOLUTION OF TRAVEL GUIDES". Trakya Üniversitesi Edebiyat Fakültesi Dergisi. 8 (15): 119–155. ISSN 1309-7660.
  112. ^ Willshaw, Gavin (September 2021). "Wikisource as a tool for OCR transcription correction: the National Library of Scotland's response to COVID-19". Information Services. doi:10.7488/era/1402.
  113. ^ Thomer, Andrea; Vaidya, Gaurav; Guralnick, Robert; Bloom, David; Russell, Laura (20 July 2012). "From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks". ZooKeys (209): 235–253. doi:10.3897/zookeys.209.3247.
  114. ^ Armstrong, Timothy K. (2010). "Rich Texts: Wikisource as an Open Access Repository for Law and the Humanities". SSRN Electronic Journal. doi:10.2139/ssrn.1566148.
  115. ^ Danowski, Patrick (25 May 2007). "Library 2.0 and User-Generated Content What can the users do for us?" (PDF). World Library and Information Congress: 73Rd Ifla General Conference and Council.
  116. ^ Meier, Florian Maximilian (2024). "Using Wikipedia Pageview Data to Investigate Public Interest in Climate Change at a Global Scale". ACM Web Science Conference (Websci'24).
  117. ^ a b Priedhorsky, Reid; Chen, Jilin; Lam, Shyong (Tony) K.; Panciera, Katherine; Terveen, Loren; Riedl, John (2007). "Creating, destroying, and restoring value in wikipedia". Proceedings of the 2007 International ACM Conference on Conference on Supporting Group Work - GROUP '07: 259. doi:10.1145/1316624.1316663. ISBN 9781595938459. S2CID 15350808.
  118. ^ Glavackij, Alexander; Ismail, Sarah; David, Dimitri Percia (2023). "Scientometric and Wikipedia Pageview Analysis". Trends in Data Protection and Encryption Technologies: 243–252. doi:10.1007/978-3-031-33386-6_39.
  119. ^ a b Kämpf, Mirko; Tessenow, Eric; Kenett, Dror Y.; Kantelhardt, Jan W. (31 December 2015). "The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks". PLOS ONE. 10 (12): e0141892. doi:10.1371/journal.pone.0141892. PMID 26720074.
  120. ^ Chelsy Xie, Xiaoxi; Johnson, Isaac; Gomez, Anne (13 May 2019). "Detecting and Gauging Impact on Wikipedia Page Views". Companion Proceedings of the 2019 World Wide Web Conference: 1254–1261. arXiv:1903.10670. doi:10.1145/3308560.3316751. ISBN 9781450366755. S2CID 85518093.
  121. ^ Roll, Uri; Mittermeier, John C.; Diaz, Gonzalo I.; Novosolov, Maria; Feldman, Anat; Itescu, Yuval; Meiri, Shai; Grenyer, Richard (December 2016). "Using Wikipedia page views to explore the cultural importance of global reptiles". Biological Conservation. 204: 42–50. doi:10.1016/j.biocon.2016.03.037.
  122. ^ Mittermeier, John C.; Roll, Uri; Matthews, Thomas J.; Correia, Ricardo; Grenyer, Rich (May 2021). "Birds that are more commonly encountered in the wild attract higher public interest online". Conservation Science and Practice. 3 (5). doi:10.1111/csp2.340. S2CID 233705917.
  123. ^ Fukano, Yuya; Tanaka, Yosuke; Soga, Masashi (February 2020). "Zoos and animated animals increase public interest in and support for threatened animals". Science of the Total Environment. 704: 135352. doi:10.1016/j.scitotenv.2019.135352. PMID 31896229. S2CID 209671456.
  124. ^ Nolan, Grace; Kane, Adam; Fernández‐Bellon, Darío (June 2022). "Natural history films generate more online interest in depicted species than in conservation messages". People and Nature. 4 (3): 816–825. doi:10.1002/pan3.10319.
  125. ^ a b Smith, Benjamin K.; Gustafson, Abel (7 September 2017). "Using Wikipedia to Predict Election Outcomes". Public Opinion Quarterly. 81 (3): 714–735. doi:10.1093/poq/nfx007.
  126. ^ Gómez‐Martínez, Raúl; Orden‐Cruz, Carmen; Martínez‐Navalón, Juan Gabriel (January 2022). "Wikipedia pageviews as investors' attention indicator for Nasdaq". Intelligent Systems in Accounting, Finance and Management. 29 (1): 41–49. doi:10.1002/isaf.1508. S2CID 248250714.
  127. ^ Eurostat (2016). "World heritage sites". ec.europa.eu. Eurostat.
  128. ^ Falk, Martin Thomas; Hagsten, Eva (December 2022). "Digital indicators of interest in natural world heritage sites". Journal of Environmental Management. p. 116250. doi:10.1016/j.jenvman.2022.116250. {{cite web}}: Missing or empty |url= (help)
  129. ^ Guedes-Santos, Jhonatan; Correia, Ricardo A.; Jepson, Paul; Ladle, Richard J. (October 2021). "Evaluating public interest in protected areas using Wikipedia page views". Journal for Nature Conservation. 63: 126040. doi:10.1016/j.jnc.2021.126040.
  130. ^ Novet, Jordan (9 May 2013). "How studying Wikipedia page views can help make money". USA TODAY.
  131. ^ Heilman, James M; Kemmann, Eckhard; Bonert, Michael; Chatterjee, Anwesh; Ragar, Brent; Beards, Graham M; Iberri, David J; Harvey, Matthew; Thomas, Brendan; Stomp, Wouter; Martone, Michael F; Lodge, Daniel J; Vondracek, Andrea; de Wolff, Jacob F; Liber, Casimir; Grover, Samir C; Vickers, Tim J; Meskó, Bertalan; Laurent, Michaël R (31 January 2011). "Wikipedia: A Key Tool for Global Public Health Promotion". Journal of Medical Internet Research. 13 (1): e14. doi:10.2196/jmir.1589. PMID 21282098. S2CID 13313212.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  132. ^ Maggio, Lauren A; Steinberg, Ryan M; Piccardi, Tiziano; Willinsky, John M (6 March 2020). "Reader engagement with medical content on Wikipedia". eLife. 9: e52426. doi:10.7554/eLife.52426. PMC 7089765. PMID 32142406.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  133. ^ Tizzoni, Michele; Panisson, André; Paolotti, Daniela; Cattuto, Ciro (12 March 2020). "The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic". PLOS Computational Biology. 16 (3): e1007633. doi:10.1371/journal.pcbi.1007633.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  134. ^ Mehdi, Mohamad; Okoli, Chitu; Mesgari, Mostafa; Nielsen, Finn Årup; Lanamäki, Arto (March 2017). "Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus". Information Processing & Management. 53 (2): 505–529. doi:10.1016/j.ipm.2016.07.003.
  135. ^ a b c d Gertner, Jon (18 July 2023). "Wikipedia's Moment of Truth". The New York Times.
  136. ^ Hinkis, Roy (May 7, 2020). "How Wikipedia Lost 3 Billion Organic Search Visits To Google in 2019". similarweb.com. Similarweb.
  137. ^ a b c Arora, Akhil; Gerlach, Martin; Piccardi, Tiziano; García-Durán, Alberto; West, Robert (11 February 2022). "Wikipedia Reader Navigation: When Synthetic Data Is Enough". Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining: 16–26. arXiv:2201.00812. doi:10.1145/3488560.3498496. S2CID 245650456.
  138. ^ a b Gault, Matthew (9 February 2021). "Why Is This Flower on Wikipedia Suddenly Getting 90 Million Hits Per Day?". www.vice.com. Vice Media.
  139. ^ Yasseri, Taha; Bright, Jonathan (December 2016). "Wikipedia traffic data and electoral prediction: towards theoretically informed models". EPJ Data Science. 5 (1): 22. doi:10.1140/epjds/s13688-016-0083-3. S2CID 5073817.
  140. ^ Debus, Marc; Florczak, Christoffer (August 13, 2022). "Using party press releases and Wikipedia page view data to analyse developments and determinants of parties' issue prevalence: Evidence for the right-wing populist 'Alternative for Germany'". Research & Politics. 9 (3). doi:10.1177/2053168022111657.
  141. ^ Ciocirdel, Georgiana Diana; Varga, Mihai (2016). "Election Prediction Based on Wikipedia Pageviews" (PDF). Centrum Wiskunde & Informatica.
  142. ^ Alibudbud, Rowalt (4 July 2023). "Wikipedia page views for health research: a review". Frontiers in Big Data. 6. doi:10.3389/fdata.2023.1199060.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  143. ^ Bardak, Batuhan; Tan, Mehmet (November 2015). "Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data". 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE): 1–6. doi:10.1109/BIBE.2015.7367640. ISBN 978-1-4673-7983-0. S2CID 23218365.
  144. ^ Chrzanowski, Jędrzej; Sołek, Julia; Fendler, Wojciech; Jemielniak, Dariusz (12 April 2021). "Assessing Public Interest Based on Wikipedia's Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis". Journal of Medical Internet Research. 23 (4): e26331. doi:10.2196/26331. PMID 33667176. S2CID 233380964.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  145. ^ Sciascia, Savino; Radin, Massimo (November 2017). "What can Google and Wikipedia can tell us about a disease? Big Data trends analysis in Systemic Lupus Erythematosus". International Journal of Medical Informatics. 107: 65–69. doi:10.1016/j.ijmedinf.2017.09.002. PMID 29029693.
  146. ^ Signorelli, Serena; Reis, Fernando; Biffignandi, Silvia (2016). What attracts tourists while planning for a journey? An analysis of three cities through Wikipedia page views. Global Forum on Tourism Statistics. Venice.
  147. ^ Mestyán, Márton; Yasseri, Taha; Kertész, János (21 August 2013). "Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data". PLOS ONE. 8 (8): e71226. doi:10.1371/journal.pone.0071226. PMC 3749192. PMID 23990938.
  148. ^ Khadivi, Pejman; Ramakrishnan, Naren (18 February 2016). "Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior". Proceedings of the AAAI Conference on Artificial Intelligence. 30 (2): 4016–4021. doi:10.1609/aaai.v30i2.19078. S2CID 14959030.
  149. ^ Telli, Şahin; Chen, Hongzhuan (November 2021). "Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms". Chaos, Solitons & Fractals. 152: 111331. doi:10.1016/j.chaos.2021.111331.

Further consideration[edit]

Links[edit]

Category:Wikipedia Category:Web analytics