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Reader preferences and behavior on Wikipedia

Janette Lehmann, Claudia Müller-Birn, David Laniado, Mounia Lalmas, Andreas Kaltenbrunner
2014 Proceedings of the 25th ACM conference on Hypertext and social media - HT '14  
We carried out a study on two datasets covering a 13-months period to obtain insights on users preferences and reading behavior in Wikipedia.  ...  Over the last years, research has extensively investigated this group of users while another group of Wikipedia users, the readers, their preferences and their behavior have not been much studied.  ...  Understanding reader preferences and behavior can support editors in their work in several ways.  ... 
doi:10.1145/2631775.2631805 dblp:conf/ht/LehmannMLLK14 fatcat:ex6qa5pq7bd7pp6mx3kwtrhwoa

Global gender differences in Wikipedia readership [article]

Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia
2020 arXiv   pre-print
, and (4) men and women exhibit specific topical preferences.  ...  From a global online survey of 65,031 readers of Wikipedia and their corresponding reading logs, we present novel evidence of gender differences in Wikipedia readership and how they manifest in records  ...  Acknowledgements We thank Bahodir Mansurov, Wikimedia Foundation (WMF) Readers Web and Legal teams, and the following volunteers for helping to make these surveys happen: Abbad, Amire80, Yury Bulka, Adélaïde  ... 
arXiv:2007.10403v1 fatcat:ybjyznm6urckxjaptqo7rdbit4

Assessing the relationship between context, user preferences, and content in search behaviour

Hanna Knäusl, Bernd Ludwig
2012 Proceedings of the 5th Ph.D. workshop on Information and knowledge - PIKM '12  
These preferences could then later be formalized in terms of a knowledge-based context-aware and personalized model for recommending preferred content in an information seeking process. which topics are  ...  Many Wikipedia entries are very long and cover aspects of a topic ranging from overview descriptions and fundamentals to detailed descriptions of advanced aspects for topic experts.  ...  The results obtained so far show that reading behavior and preferences for content elements depend on the surrounding task context and, secondly, both behavior and preferences may be predicted for individual  ... 
doi:10.1145/2389686.2389700 dblp:conf/cikm/KnauslL12 fatcat:qp3vppi7kbd4tiwdyefh7iifva

Conflict, criticism, or confidence

Benjamin Collier, Julia Bear
2012 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work - CSCW '12  
This paper examines these hypotheses regarding the existence of the gender gap in contribution by using data from an international survey of 176,192 readers, contributors, and former contributors to Wikipedia  ...  A recent survey of contributors to Wikipedia found that less than 15% of contributors are women. This gender contribution gap has received significant attention from both researchers and the media.  ...  ACKNOWLEDGMENTS We would like to thank Bob Kraut, Denise Rousseau, and Anita Woolley for feedback and assistance. This project was supported by NSF IIS-0963451 and NSF OC10943148.  ... 
doi:10.1145/2145204.2145265 dblp:conf/cscw/CollierB12 fatcat:ojn2zw65bbcsxb7jnwkpm6s5gq

Going Down the Rabbit Hole: Characterizing the Long Tail of Wikipedia Reading Sessions [article]

Tiziano Piccardi, Martin Gerlach, Robert West
2022 arXiv   pre-print
These findings contribute to our understanding of Wikipedia readers' information needs and user behavior on the Web.  ...  "Wiki rabbit holes" are informally defined as navigation paths followed by Wikipedia readers that lead them to long explorations, sometimes involving unexpected articles.  ...  We also gratefully acknowledge generous gifts from Facebook and Google supporting West's lab.  ... 
arXiv:2203.06932v1 fatcat:f7fpqtjzwvhmvfswxhw2dfgpwe

Computer-supported collaborative accounts of major depression: Digital rhetoric on Quora and Wikipedia

Cosima Rughinis, Bogdana Huma, Stefania Matei, Razvan Rughinis
2014 2014 9th Iberian Conference on Information Systems and Technologies (CISTI)  
We analyze digital rhetoric in two computersupported collaborative settings of writing and learning, focusing on major depression: Wikipedia and Quora.  ...  Key points of difference include: focus on symptoms and causes vs. experiences and advice, use of lists vs. metaphors and narratives, a/temporal structure, and personal and relational knowledge.  ...  ACKNOWLEDGMENT This article has been supported by the research project "Sociological imagination and disciplinary orientation in applied social research", with financial support of ANCS / UEFISCDI with  ... 
doi:10.1109/cisti.2014.6876968 fatcat:fekbrljanrgfto6sh3hybh7uca

A large scale study of reader interactions with images on Wikipedia

Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella
2022 EPJ Data Science  
To bridge this gap, we collect data about English Wikipedia reader interactions with images during one month and perform the first large-scale analysis of how interactions with images happen on Wikipedia  ...  To increase reader understanding of the article, Wikipedia editors add images within the text of the article's body.  ...  Acknowledgements The authors thank the Wikimedia Research Team for their insightful discussions and the Analytics Team for their technical support.  ... 
doi:10.1140/epjds/s13688-021-00312-8 fatcat:hpi3pugp5vatrcoc4h7qs7stge

A Large-Scale Characterization of How Readers Browse Wikipedia [article]

Tiziano Piccardi, Martin Gerlach, Akhil Arora, Robert West
2022 arXiv   pre-print
their experience on Wikipedia as well as the Web more generally.  ...  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.  ...  Reader behavior on Wikipedia. Researchers have studied how readers behave when reading Wikipedia.  ... 
arXiv:2112.11848v2 fatcat:rcqxbkux5jdhzlibjxlo56xnsq

A Large Scale Study of Reader Interactions with Images on Wikipedia [article]

Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella
2021 arXiv   pre-print
To bridge this gap, we collect data about English Wikipedia reader interactions with images during one month and perform the first large-scale analysis of how interactions with images happen on Wikipedia  ...  Wikipedia is the largest source of free encyclopedic knowledge and one of the most visited sites on the Web.  ...  Acknowledgements The authors thank the Wikimedia Research Team for their insightful discussions and the Analytics Team for their technical support.  ... 
arXiv:2112.01868v1 fatcat:ci4nacnodrajjho37od3sqtolq

Why We Read Wikipedia

Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec
2017 Proceedings of the 26th International Conference on World Wide Web - WWW '17  
Our findings advance our understanding of reader motivations and behavior on Wikipedia and can have implications for developers aiming to improve Wikipedia's user experience, editors striving to cater  ...  to their readers' needs, third-party services (such as search engines) providing access to Wikipedia content, and researchers aiming to build tools such as recommendation engines.  ...  Mansurov, Jon Robson, and Sam Smith for running the surveys on Wikipedia; and Aeryn Palmer for creating the privacy statements for this research.  ... 
doi:10.1145/3038912.3052716 dblp:conf/www/SingerL0ZWSL17 fatcat:dlyqrwdo6jdgtkku5s4d4q7lia

Query for Architecture, Click through Military

Dimitar Dimitrov, Florian Lemmerich, Fabian Flöck, Markus Strohmaier
2018 Proceedings of the 10th ACM Conference on Web Science - WebSci '18  
As one of the richest sources of encyclopedic information on the Web, Wikipedia generates an enormous amount of traffic.  ...  The results of this paper constitute a step towards understanding human information seeking behavior on the Web.  ...  Wikipedia Article Data and Features To study the influence of the content on the preferred access behavior, we focus on a snapshot of all Wikipedia articles contained in the main namespace of the English  ... 
doi:10.1145/3201064.3201092 dblp:conf/websci/DimitrovLFS18 fatcat:xxymm2xpkfdzxcw4tdzcclnf2e


Neeru Dubey, Amit Arjun Verma, Simran Setia, S. R. S. Iyengar
2022 Journal of Cases on Information Technology  
This tool performs user profiling and generates a recommended personalized summary of yet unread Wikipedia article for a user.  ...  We develop a tool, called PerSummRe, which learns the reading preferences of a user through a vision-based analysis of his/her past reads.  ...  ACKNoWLedGMeNT This work was funded by the assistance received from CSRI, Department of Science and Technology India via grant no. SR/CSRI/344/2016.  ... 
doi:10.4018/jcit.20220701.oa7 fatcat:6ts5tqfpbbdatosmswy4jbmhx4


Shyong (Tony) K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren Terveen, John Riedl
2011 Proceedings of the 7th International Symposium on Wikis and Open Collaboration - WikiSym '11  
We look at the nature of the imbalance itself, its effects on the quality of the encyclopedia, and several conflict-related factors that may be contributing to the gender gap.  ...  Wikipedia has rapidly become an invaluable destination for millions of information-seeking users.  ...  We thank the Wikimedia Foundation for facilitating access to public Wikipedia data. This work is funded by the NSF (grants IIS 08-08692, 09-68483, 10-38277) and by the China Scholarship Council.  ... 
doi:10.1145/2038558.2038560 dblp:conf/wikis/LamUDSMTR11 fatcat:lvffsusrzbfwdeqkb73ll2vy2i

Characterizing Online Vandalism: A Rational Choice Perspective

Kaylea Champion
2020 International Conference on Social Media and Society  
Using a mixed-methods analysis of Wikipedia, I combine social computing and criminological perspectives on vandalism to propose an ontology of vandalism for online content communities.  ...  This study applies the framework of RCT and VET to gain insight into vandals' preferences and constraints.  ...  on vandal behavior.  ... 
doi:10.1145/3400806.3400813 dblp:conf/smsociety/Champion20 fatcat:jzzzefyg4bas5cdxlyvvjpq4cu

What Makes a Link Successful on Wikipedia?

Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, Markus Strohmaier
2017 Proceedings of the 26th International Conference on World Wide Web - WWW '17  
This work facilitates understanding navigational click behavior and thus can contribute to improving link structures and algorithms utilizing these structures.  ...  We further adapt and improve the well-known classic PageRank algorithm that assumes random navigation by accounting for observed navigational preferences of users in a weighted variation.  ...  We would like to thank Denis Helic for the inspiring discussions on the PageRank section.  ... 
doi:10.1145/3038912.3052613 dblp:conf/www/DimitrovSLS17 fatcat:wo7fge57tfephlr5tqzxbrufnq
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