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Designing trust into online experiences
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A content-driven reputation system for the wikipedia
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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
Computing trust from revision history
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Modulating video credibility via visualization of quality evaluations
Proceedings of the 4th workshop on Information credibility
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ImageAlert: credibility analysis of text-image pairs on the web
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Omnipedia: bridging the wikipedia language gap
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Motivating crowds using social facilitation and social transparency
Proceedings of the 2013 conference on Computer supported cooperative work companion
End User Development and Meta-Design: Foundations for Cultures of Participation
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Assessing trustworthiness in collaborative environments
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Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge capture in the wild: a perspective from semantic wiki communities
Proceedings of the seventh international conference on Knowledge capture
Understanding trust formation in digital information sources: The case of Wikipedia
Journal of Information Science
Standing on the schemas of giants: socially augmented information foraging
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Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Wikipedia has become one of the most important information resources on the Web by promoting peer collaboration and enabling virtually anyone to edit anything. However, this mutability also leads many to distrust it as a reliable source of information. Although there have been many attempts at developing metrics to help users judge the trustworthiness of content, it is unknown how much impact such measures can have on a system that is perceived as inherently unstable. Here we examine whether a visualization that exposes hidden article information can impact readers' perceptions of trustworthiness in a wiki environment. Our results suggest that surfacing information relevant to the stability of the article and the patterns of editor behavior can have a significant impact on users' trust across a variety of page types.