Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
The Wealth of Networks: How Social Production Transforms Markets and Freedom
The Wealth of Networks: How Social Production Transforms Markets and Freedom
Communications of the ACM
Characterizing the influence of domain expertise on web search behavior
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A characterization of online browsing behavior
Proceedings of the 19th international conference on World wide web
Measuring author contributions to the Wikipedia
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Who uses web search for what: and how
Proceedings of the fourth ACM international conference on Web search and data mining
Finding social roles in Wikipedia
Proceedings of the 2011 iConference
A data-driven sketch of Wikipedia editors
Proceedings of the 21st international conference companion on World Wide Web
Improving Wiki Article Quality Through Crowd Coordination: A Resource Allocation Approach
International Journal on Semantic Web & Information Systems
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While there has been a substantial amount of research into the editorial and organizational processes within Wikipedia, little is known about how Wikipedia editors (Wikipedians) relate to the online world in general. We attempt to shed light on this issue by using aggregated log data from Yahoo!'s browser toolbar in order to analyze Wikipedians' editing behavior in the context of their online lives beyond Wikipedia. We broadly characterize editors by investigating how their online behavior differs from that of other users; e.g., we find that Wikipedia editors search more, read more news, play more games, and, perhaps surprisingly, are more immersed in popular culture. Then we inspect how editors' general interests relate to the articles to which they contribute; e.g., we confirm the intuition that editors are more familiar with their active domains than average users. Finally, we analyze the data from a temporal perspective; e.g., we demonstrate that a user's interest in the edited topic peaks immediately before the edit. Our results are relevant as they illuminate novel aspects of what has become many Web users' prevalent source of information.