Republic.com
Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring self-focus bias in community-maintained knowledge repositories
Proceedings of the fourth international conference on Communities and technologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cross-cultural analysis of the Wikipedia community
Journal of the American Society for Information Science and Technology
Cultural bias in Wikipedia content on famous persons
Journal of the American Society for Information Science and Technology
Collective memory building in Wikipedia: the case of North African uprisings
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Omnipedia: bridging the wikipedia language gap
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The 4 million articles of the English Wikipedia have been written in a collaborative fashion by more than 16 million volunteer editors. On each article, the community of editors strive to reach a neutral point of view, representing all significant views fairly, proportionately, and without biases. However, beside the English one, there are more than 280 editions of Wikipedia in different languages and their relatively isolated communities of editors are not forced by the platform to discuss and negotiate their points of view. So the empirical question is: do communities on different language Wikipedias develop their own diverse Linguistic Points of View (LPOV)? To answer this question we created and released as open source Manypedia, a web tool whose aim is to facilitate cross-cultural analysis of Wikipedia language communities by providing an easy way to compare automatically translated versions of their different representations of the same topic.