skip to main content
research-article

A Large-Scale Characterization of How Readers Browse Wikipedia

Published:03 April 2023Publication History
Skip Abstract Section

Abstract

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic large-scale analysis of how readers browse Wikipedia. Using billions of page requests from Wikipedia’s server logs, we measure how readers reach articles, how they transition between articles, and how these patterns combine into more complex navigation paths. We find that navigation behavior is characterized by highly diverse structures. Although most navigation paths are shallow, comprising a single pageload, there is much variety, and the depth and shape of paths vary systematically with topic, device type, and time of day. We show that Wikipedia navigation paths commonly mesh with external pages as part of a larger online ecosystem, and we describe how naturally occurring navigation paths are distinct from targeted navigation in lab-based settings. Our results further suggest that navigation is abandoned when readers reach low-quality pages. Taken together, these insights contribute to a more systematic understanding of readers’ information needs and allow for improving their experience on Wikipedia and the Web in general.

REFERENCES

  1. [1] Anderson Ashton, Kumar Ravi, Tomkins Andrew, and Vassilvitskii Sergei. 2014. The dynamics of repeat consumption. In Proceedings of the International World Wide Web Conference (WWW’14).Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. [2] Andreescu Dan, Gordon Kinneret, Johnson Isaac, and Perry Nicholas. 2021. Searching for Wikipedia. Retrieved October 13, 2021 from https://techblog.wikimedia.org/2021/06/07/search ing-for-wikipedia/. Accessed 25 January 2023.Google ScholarGoogle Scholar
  3. [3] Arora Akhil, Gerlach Martin, Piccardi Tiziano, García-Durán Alberto, and West Robert. 2022. Wikipedia reader navigation: When synthetic data is enough. In Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM’22). Association for Computing Machinery, New York, NY, 1626.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. [4] Awad Mamoun A. and Khan Latifur R.. 2007. Web navigation prediction using multiple evidence combination and domain knowledge. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 37, 6 (2007), 10541062.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. [5] Bates Marcia J.. 1989. The design of browsing and berrypicking techniques for the online search interface. Online Review.Google ScholarGoogle ScholarCross RefCross Ref
  6. [6] Benson Austin R., Kumar Ravi, and Tomkins Andrew. 2016. Modeling user consumption sequences. In Proceedings of the International World Wide Web Conference (WWW’16).Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. [7] Bilenko Mikhail and White Ryen W.. 2008. Mining the search trails of surfing crowds: Identifying relevant websites from user activity. In Proceedings of the 17th International Conference on World Wide Web. 5160.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. [8] Bush Vannevar. 1945. As we may think. The Atlantic Monthly 176, 1 (1945), 101108.Google ScholarGoogle Scholar
  9. [9] Chi Ed H., Pirolli Peter, Chen Kim, and Pitkow James. 2001. Using information scent to model user information needs and actions and the web. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 490497.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. [10] Chierichetti Flavio, Kumar Ravi, Raghavan Prabhakar, and Sarlos Tamas. 2012. Are web users really Markovian?. In Proceedings of the International World Wide WebConference (WWW’12).Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. [11] Dallmann Alexander, Niebler Thomas, Lemmerich Florian, and Hotho Andreas. 2016. Extracting semantics from random walks on Wikipedia: Comparing learning and counting methods. In Proceedings of the Conference on Web and Social Media (ICWSM’16).Google ScholarGoogle Scholar
  12. [12] Deshpande Mukund and Karypis George. 2004. Selective Markov models for predicting web page accesses. ACM Transactions on Internet Technology (TOIT) 4, 2 (2004), 163184.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. [13] Dimitrov Dimitar, Lemmerich Florian, Flöck Fabian, and Strohmaier Markus. 2018. Query for architecture, click through military: Comparing the roles of search and navigation on Wikipedia. In Proceedings of the Conference on Web Science (WebSci’18).Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. [14] Dimitrov Dimitar, Singer Philipp, Lemmerich Florian, and Strohmaier Markus. 2017. What makes a link successful on Wikipedia?. In Proceedings of the International World Wide Web Conference (WWW’17).Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. [15] Eickhoff Carsten, Teevan Jaime, White Ryen, and Dumais Susan. 2014. Lessons from the journey: A query log analysis of within-session learning. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining. 223232.Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. [16] Foundation Wikimedia. 2019. Medium-term plan 2019: The model for engagement. Retrieved October 13, 2021 from https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Medium-term_plan_2019#The_model_for_engagement. Accessed: 25 January 2023.Google ScholarGoogle Scholar
  17. [17] Fox Steve, Karnawat Kuldeep, Mydland Mark, Dumais Susan, and White Thomas. 2005. Evaluating implicit measures to improve web search. ACM Transactions on Information Systems (TOIS) 23, 2 (2005), 147168.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. [18] Geng Ruili and Tian Jeff. 2015. Improving web navigation usability by comparing actual and anticipated usage. IEEE Transactions on Human-Machine Systems 45, 1 (2015), 8494.Google ScholarGoogle ScholarCross RefCross Ref
  19. [19] Gildersleve Patrick and Yasseri Taha. 2018. Inspiration, captivation, and misdirection: Emergent properties in networks of online navigation. Complex Networks IX (2018), 271282.Google ScholarGoogle ScholarCross RefCross Ref
  20. [20] Halfaker Aaron. 2017. Interpolating quality dynamics in Wikipedia and demonstrating the Keilana effect. In Proceedings of the International Symposium on Open Collaboration (OpenSym’17).Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. [21] Halfaker Aaron and Geiger R. Stuart. 2019. ORES: Lowering barriers with participatory machine learning in Wikipedia. In Proceedings of the Human-Computer Interaction (HCI’19).Google ScholarGoogle Scholar
  22. [22] Halfaker Aaron, Keyes Os, Kluver Daniel, Thebault-Spieker Jacob, Nguyen Tien, Shores Kenneth, Uduwage Anuradha, and Warncke-Wang Morten. 2015. User session identification based on strong regularities in inter-activity time. In Proceedings of the International World Wide Web Conference (WWW’15).Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. [23] Helic Denis. 2012. Analyzing user click paths in a Wikipedia navigation game. In Proceedings of the International Convention MIPRO.Google ScholarGoogle Scholar
  24. [24] Tutorials Hostinger. 2022. The most visited website in every country (that isn’t a search engine). https://www.hostinger.com/tutorials/the-most-visited-website-in-every-country.Google ScholarGoogle Scholar
  25. [25] Huang Jeff and White Ryen W.. 2010. Parallel browsing behavior on the web. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia. 1318.Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. [26] Ibáñez Luis-Daniel and Simperl Elena. 2022. A comparison of dataset search behaviour of internal versus search engine referred sessions. In ACM SIGIR Conference on Human Information Interaction and Retrieval. 158168.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. [27] Jiang Daxin, Pei Jian, and Li Hang. 2013. Mining search and browse logs for web search: A survey. ACM Transactions on Intelligent Systems and Technology (TIST) 4, 4 (2013), 137.Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. [28] Jindal Honey, Sardana Neetu, and Mehta Raghav. 2020. Efficient web navigation prediction using hybrid models based on multiple evidence combinations. International Journal of Computers and Applications 42, 7 (2020), 715728.Google ScholarGoogle ScholarCross RefCross Ref
  29. [29] Johnson Isaac, Lemmerich Florian, Sáez-Trumper Diego, West Robert, Strohmaier Markus, and Zia Leila. 2020. Global gender differences in Wikipedia readership. In Proceedings of the Conference on Web and Social Media (ICWSM’20).Google ScholarGoogle Scholar
  30. [30] Khalil Faten, Li Jiuyong, and Wang Hua. 2009. An integrated model for next page access prediction. International Journal of Knowledge and Web Intelligence 1, 1-2 (2009), 4880.Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. [31] Kitajima Muneo, Blackmon Marilyn H., and Polson Peter G.. 2000. A comprehension-based model of web navigation and its application to web usability analysis. In People and Computers XIV—Usability or Else!Springer, 357373.Google ScholarGoogle Scholar
  32. [32] Koopmann Tobias, Dallmann Alexander, Hettinger Lena, Niebler Thomas, and Hotho Andreas. 2019. On the right track! Analysing and predicting navigation success in Wikipedia. In Proceedings of the Conference on Hypertext and Social Media (HT’19).Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. [33] Kross Sean, Hargittai Eszter, and Redmiles Elissa M.. 2021. Characterizing the online learning landscape: What and how people learn online. ACM Human-Computer Interaction 5, CSCW1 (Feb.2021), 19.Google ScholarGoogle Scholar
  34. [34] Kulshrestha Juhi, Oliveira Marcos, Karacalik Orkut, Bonnay Denis, and Wagner Claudia. 2020. Web routineness and limits of predictability: Investigating demographic and behavioral differences using web tracking data. 15 (2021), 327–338.Google ScholarGoogle Scholar
  35. [35] Lamprecht Daniel, Dimitrov Dimitar, Helic Denis, and Strohmaier Markus. 2016. Evaluating and improving navigability of Wikipedia: A comparative study of eight language editions. In Proceedings of the International Symposium on Open Collaboration (OpenSym’16).Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. [36] Lamprecht Daniel, Lerman Kristina, Helic Denis, and Strohmaier Markus. 2017. How the structure of Wikipedia articles influences user navigation. New Review of Hypermedia and Multimedia 23, 1 (2017), 2950.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. [37] Lazer David, Hargittai Eszter, Freelon Deen, Gonzalez-Bailon Sandra, Munger Kevin, Ognyanova Katherine, and Radford Jason. 2021. Meaningful measures of human society in the twenty-first century. Nature 595, 7866 (2021), 189196.Google ScholarGoogle ScholarCross RefCross Ref
  38. [38] Lazer David, Kennedy Ryan, King Gary, and Vespignani Alessandro. 2014. The parable of Google flu: Traps in big data analysis. Science 343, 6176 (2014), 12031205.Google ScholarGoogle ScholarCross RefCross Ref
  39. [39] Lehmann Janette, Müller-Birn Claudia, Laniado David, Lalmas Mounia, and Kaltenbrunner Andreas. 2014. Reader preferences and behavior on Wikipedia. In Proceedings of the Conference on Hypertext and Social Media (HT’14).Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. [40] Lemmerich Florian, Sáez-Trumper Diego, West Robert, and Zia Leila. 2019. Why the world reads Wikipedia: Beyond English speakers. In Proceedings of the International Conference on Web Search and Data Mining (WSDM’19).Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. [41] Lydon-Staley David M., Zhou Dale, Blevins Ann Sizemore, Zurn Perry, and Bassett Danielle S.. 2021. Hunters, busybodies and the knowledge network building associated with deprivation curiosity. Nature Human Behaviour 5, 3 (2021), 327336.Google ScholarGoogle ScholarCross RefCross Ref
  42. [42] Mabroukeh Nizar R. and Ezeife Christie I.. 2009. Semantic-rich Markov models for web prefetching. In Proceedings of the International Conference on Data Mining Workshops (ICDMW’09). IEEE, 465470.Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. [43] Machlup Fritz. 1983. The study of information: Interdisciplinary messages.Google ScholarGoogle Scholar
  44. [44] Maggio Lauren A., Steinberg Ryan M., Piccardi Tiziano, and Willinsky John M.. 2020. Meta-research: Reader engagement with medical content on Wikipedia. Elife 9 (2020), e52426.Google ScholarGoogle ScholarCross RefCross Ref
  45. [45] Mangel M., Satterthwaite W. H., Pirolli P., Suh B., and Zhang Y.. 2013. Invasion biology and the success of social collaboration networks, with application to Wikipedia. Israel Journal of Ecology and Evolution 59, 1 (2013), 1726.Google ScholarGoogle ScholarCross RefCross Ref
  46. [46] McMahon Connor, Johnson Isaac, and Hecht Brent. 2017. The substantial interdependence of Wikipedia and Google: A case study on the relationship between peer production communities and information technologies. In Proceedings of the Conference on Web and Social Media (ICWSM’17).Google ScholarGoogle ScholarCross RefCross Ref
  47. [47] Mitrevski Blagoj, Piccardi Tiziano, and West Robert. 2020. WikiHist.html: English Wikipedia’s full revision history in HTML format. In Proceedings of the Conference on Web and Social Media (ICWSM’20).Google ScholarGoogle ScholarCross RefCross Ref
  48. [48] Muramatsu Jack and Pratt Wanda. 2001. Transparent queries: Investigation users’ mental models of search engines. In Conference on Research & Development in Information Retrieval (SIGIR’01).Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. [49] Narvekar Meera and Banu Shaikh Sakina. 2015. Predicting user’s web navigation behavior using hybrid approach. Procedia Computer Science 45 (2015), 312.Google ScholarGoogle ScholarCross RefCross Ref
  50. [50] Nisbett Richard E. and Wilson Timothy D.. 1977. Telling more than we can know: Verbal reports on mental processes. Psychological Review 84, 3 (1977), 231.Google ScholarGoogle ScholarCross RefCross Ref
  51. [51] Olteanu Alexandra, Castillo Carlos, Diaz Fernando, and Kıcıman Emre. 2019. Social data: Biases, methodological pitfalls, and ethical boundaries. Frontiers in Big Data 2 (2019), 13.Google ScholarGoogle ScholarCross RefCross Ref
  52. [52] Paranjape Ashwin, West Robert, Zia Leila, and Leskovec Jure. 2016. Improving website hyperlink structure using server logs. In Proceedings of the International Conference on Web Search and Data Mining (WSDM’16).Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. [53] Piccardi Tiziano, Catasta Michele, Zia Leila, and West Robert. 2018. Structuring Wikipedia articles with section recommendations. In Conference on Research & Development in Information Retrieval (SIGIR’18).Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. [54] Piccardi Tiziano, Redi Miriam, Colavizza Giovanni, and West Robert. 2020. Quantifying engagement with citations on Wikipedia. In Proceedings of the International World Wide Web Conference (WWW’20).Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. [55] Piccardi Tiziano, Redi Miriam, Colavizza Giovanni, and West Robert. 2021. On the value of Wikipedia as a gateway to the web. In Proceedings of the International World Wide Web Conference (WWW’21).Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. [56] Piccardi Tiziano and West Robert. 2021. Crosslingual topic modeling with wikiPDA. In Proceedings of the International World Wide Web Conference (WWW’21).Google ScholarGoogle Scholar
  57. [57] Pirolli Peter and Card Stuart. 1999. Information foraging. Psychological Review 106, 4 (1999), 643.Google ScholarGoogle ScholarCross RefCross Ref
  58. [58] Pirolli Peter L. T. and Pitkow James E.. 1999. Distributions of surfers’ paths through the world wide web: Empirical characterizations. World Wide Web 2, 1 (1999), 2945.Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. [59] Qu Yan and Furnas George W.. 2008. Model-driven formative evaluation of exploratory search: A study under a sensemaking framework. Information Processing & Management 44, 2 (2008), 534555.Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. [60] Redi Miriam, Gerlach Martin, Johnson Isaac, Morgan Jonathan, and Zia Leila. 2020. A taxonomy of knowledge gaps for Wikimedia projects (second draft). (Aug. 2020). arXiv:2008.12314.Google ScholarGoogle Scholar
  61. [61] Rodi Giovanna Chiara, Loreto Vittorio, and Tria Francesca. 2017. Search strategies of Wikipedia readers. PloS One 12, 2 (Feb. 2017), 115.Google ScholarGoogle Scholar
  62. [62] Rotman Dana, Vieweg Sarah, Yardi Sarita, Chi Ed, Preece Jenny, Shneiderman Ben, Pirolli Peter, and Glaisyer Tom. 2011. From slacktivism to activism: Participatory culture in the age of social media. In CHI’11 Extended Abstracts on Human Factors in Computing Systems.Google ScholarGoogle Scholar
  63. [63] Salganik Matthew J.. 2019. Bit by Bit: Social Research in the Digital Age. Princeton University Press.Google ScholarGoogle Scholar
  64. [64] Scaria Aju Thalappillil, Philip Rose Marie, West Robert, and Leskovec Jure. 2014. The last click: Why users give up information network navigation. In Proceedings of the International Conference on Web Search and Data Mining (WSDM’14).Google ScholarGoogle ScholarDigital LibraryDigital Library
  65. [65] Shaw Aaron and Hargittai Eszter. 2018. The pipeline of online participation inequalities: The case of Wikipedia editing. The Journal of Communication 68, 1 (Feb.2018), 143168.Google ScholarGoogle ScholarCross RefCross Ref
  66. [66] Singer Philipp, Lemmerich Florian, West Robert, Zia Leila, Wulczyn Ellery, Strohmaier Markus, and Leskovec Jure. 2017. Why we read Wikipedia. In Proceedings of the International World Wide Web Conference (WWW’17).Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. [67] Singer Philipp, Niebler Thomas, Strohmaier Markus, and Hotho Andreas. 2013. Computing semantic relatedness from human navigational paths: A case study on Wikipedia. International Journal on Semantic Web and Information Systems 9, 4 (Oct.2013), 4170.Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. [68] Singla Adish, White Ryen, and Huang Jeff. 2010. Studying trailfinding algorithms for enhanced web search. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 443450.Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. [69] Suh Bongwon, Hong Lichan, Pirolli Peter, and Chi Ed H.. 2010. Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network. In 2010 IEEE Second International Conference on Social Computing. IEEE, 177184.Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. [70] Tauscher Linda and Greenberg Saul. 1997. Revisitation patterns in world wide web navigation. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’97).Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. [71] TeBlunthuis Nathan, Bayer Tilman, and Vasileva Olga. 2019. Dwelling on Wikipedia: Investigating time spent by global encyclopedia readers. In Proceedings of the International Symposium on Open Collaboration (OpenSym’19).Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. [72] Tizzoni Michele, Panisson André, Paolotti Daniela, and Cattuto Ciro. 2020. The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. PLoS Computational Biology 16, 3 (March2020), e1007633.Google ScholarGoogle ScholarCross RefCross Ref
  73. [73] Vincent Nicholas and Hecht Brent. 2021. A deeper investigation of the importance of Wikipedia links to search engine results. Proceedings of the ACM on Human-Computer Interacttion 5, CSCW1 (April2021), 115.Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. [74] Wagner Claudia, Strohmaier Markus, Olteanu Alexandra, Kıcıman Emre, Contractor Noshir, and Eliassi-Rad Tina. 2021. Measuring algorithmically infused societies. Nature 595, 7866 (2021), 197204.Google ScholarGoogle ScholarCross RefCross Ref
  75. [75] Wang Shoujin, Cao Longbing, Wang Yan, Sheng Quan Z., Orgun Mehmet A., and Lian Defu. 2021. A survey on session-based recommender systems. ACM Computing Surveys 54, 7 (July2021), 138.Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. [76] West Robert and Leskovec Jure. 2012. Automatic versus human navigation in information networks. In Proceedings of the Conference on Web and Social Media (ICWSM’12).Google ScholarGoogle Scholar
  77. [77] West Robert and Leskovec Jure. 2012. Human wayfinding in information networks. In Proceedings of the International World Wide Web Conference (WWW’12).Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. [78] West Robert, Paranjape Ashwin, and Leskovec Jure. 2015. Mining missing hyperlinks from human navigation traces: A case study of Wikipedia. In Proceedings of the International World Wide Web Conference (WWW’15).Google ScholarGoogle ScholarDigital LibraryDigital Library
  79. [79] West Robert, Pineau Joelle, and Precup Doina. 2009. Wikispeedia: An online game for inferring semantic distances between concepts. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’09).Google ScholarGoogle Scholar
  80. [80] White Ryen W., Bilenko Mikhail, and Cucerzan Silviu. 2007. Studying the use of popular destinations to enhance web search interaction. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 159166.Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. [81] White Ryen W. and Drucker Steven M.. 2007. Investigating behavioral variability in web search. In Proceedings of the International World Wide Web Conference (WWW’07). 2130.Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. [82] White Ryen W. and Huang Jeff. 2010. Assessing the scenic route: Measuring the value of search trails in web logs. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 587594.Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. [83] Wilson Tom D.. 1981. On user studies and information needs. Journal of Documentation 37, 1 (1981), 3–15.Google ScholarGoogle ScholarCross RefCross Ref
  84. [84] Wilson Tom D.. 1997. Information behaviour: An interdisciplinary perspective. Information Processing & Management 33, 4 (1997), 551572.Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. [85] Wilson Tom D.. 1999. Models in information behaviour research. Journal of Documentation 55, 3 (1999), 249–270.Google ScholarGoogle ScholarCross RefCross Ref
  86. [86] Wulczyn Ellery and Taraborelli Dario. 2015. Wikipedia clickstream. https://meta.wikimedia.org/wiki/Research:Wikiped ia_clickstream. Accessed 25 January 2023.Google ScholarGoogle Scholar
  87. [87] Younger Paula. 2010. Internet-based information-seeking behaviour amongst doctors and nurses: A short review of the literature. Health Information & Libraries Journal 27, 1 (2010), 210.Google ScholarGoogle ScholarCross RefCross Ref
  88. [88] Zhu Kai, Walker Dylan, and Muchnik Lev. 2020. Content growth and attention contagion in information networks: Addressing information poverty on Wikipedia. Information Systems Research 31, 2 (June2020), 491509.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A Large-Scale Characterization of How Readers Browse Wikipedia

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image ACM Transactions on the Web
          ACM Transactions on the Web  Volume 17, Issue 2
          May 2023
          170 pages
          ISSN:1559-1131
          EISSN:1559-114X
          DOI:10.1145/3589222
          Issue’s Table of Contents

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 3 April 2023
          • Online AM: 13 January 2023
          • Accepted: 4 November 2022
          • Revised: 26 October 2022
          • Received: 2 March 2022
          Published in tweb Volume 17, Issue 2

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
        • Article Metrics

          • Downloads (Last 12 months)191
          • Downloads (Last 6 weeks)23

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Full Text

        View this article in Full Text.

        View Full Text

        HTML Format

        View this article in HTML Format .

        View HTML Format
        About Cookies On This Site

        We use cookies to ensure that we give you the best experience on our website.

        Learn more

        Got it!