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Who reads what and how: Transforming reading behavior into valuable feedback for the Wikipedia community

Lehmann, Janette; Müller-Birn, Claudia; Lanaido, David; Lalmas, Mounia; Kaltenbrunner, Andreas – 2014

Most of the attention in previous research on the Wikipedia community has been devoted to the study of its production side: editors and their motivations, activity and roles. However, the value of the encyclopedia is also given by the millions of people who access it every day. In this work we focus on the - until now understudied - usage side of Wikipedia, investigating readers’ preference and behaviour as a precious source of information that can provide useful feedback to the editors’ community. One reason for the limited focus on Wikipedia readers in previous research might be how scholars consider the role of passive users, i.e. the readers, in online communities. Readers are often considered to not provide any visible contribution to the community, and have been referred to as “lurkers” or “free-riders” who are “more resource-taking than value-adding”. In our presentation, we want to show how information on reading patterns can be used by the Wikipedia community to support editorial work and to improve existing tools. We study users’ reading preference (what they read) and reading behavior (how they read) in Wikipedia. First, we observe that the most read articles do not necessarily correspond to the articles that are more frequently edited, suggesting some degree of non-alignment between users’ reading interests and authors’ editing interests. We then show that articles differ in the way they are read and that reading patterns can also change over time. For example, whereas some articles are read by many users for a short time, others attract less readers, but more time is spent reading them. In general, this means users show their interest in an article in different ways. Based on these results, we discuss how the study of reading patterns can provide valuable insights to the Wikipedia community and how these can help to build new tools or to adapt existing ones, such as the Article Feedback Tool or the SuggestBot. Information on users’ reading preference and behavior can be used to improve the structure and presentation of an article, as well as to decide which articles to edit next, bridging the gap between Wikipedia’s usage and production side.

Title
Who reads what and how: Transforming reading behavior into valuable feedback for the Wikipedia community
Author
Lehmann, Janette; Müller-Birn, Claudia; Lanaido, David; Lalmas, Mounia; Kaltenbrunner, Andreas
Keywords
wikipedia
Date
2014
Appeared in
Wikimania, London, Great Britain
Type
Text
BibTeX Code
@inproceedings{mueller-birn_who_reads_2014,
author = {Lehmann, Janette and Müller-Birn, Claudia and Lanaido, David and Lalmas, Mounia and Kaltenbrunner, Andreas},
title = {Who reads what and how: Transforming reading behavior into valuable feedback for the Wikipedia community},
booktitle = {Wikimania, London, Great Britain},
year = {2014},
url = {https://wikimania2014.wikimedia.org/wiki/Submissions/Who_reads_what_and_how:_Transforming_reading_behavior_into_valuable_feedback_for_the_Wikipedia_community},
language = {Englisch},
keywords = {wikipedia}
}