Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Wikinomics: How Mass Collaboration Changes Everything
Wikinomics: How Mass Collaboration Changes Everything
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Journal of the American Society for Information Science and Technology
Size matters: word count as a measure of quality on wikipedia
Proceedings of the 17th international conference on World Wide Web
The Future of the Internet--And How to Stop It
The Future of the Internet--And How to Stop It
Predicting trusts among users of online communities: an epinions case study
Proceedings of the 9th ACM conference on Electronic commerce
Computing trust from revision history
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Assessing the quality of Wikipedia articles with lifecycle based metrics
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Modeling user reputation in wikis
Statistical Analysis and Data Mining
Trust in wikipedia: how users trust information from an unknown source
Proceedings of the 4th workshop on Information credibility
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
{{Citation needed}}: the dynamics of referencing in Wikipedia
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Proceedings of the 23rd international conference on World wide web
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Wikipedia is commonly viewed as the main online encyclopedia. Its content quality, however, has often been questioned due to the open nature of its editing model. A high--quality contribution by an expert may be followed by a low-quality contribution made by an amateur or a vandal; therefore the quality of each article may fluctuate over time as it goes through iterations of edits by different users. With the increasing use of Wikipedia, the need for a reliable assessment of the quality of the content is also rising. In this study, we model the evolution of content quality in Wikipedia articles in order to estimate the fraction of time during which articles retain high-quality status. To evaluate the model, we assess the quality of Wikipedia's featured and non-featured articles. We show how the model reproduces consistent results with what is expected. As a case study, we use the model in a CalSWIM mashup the content of which is taken from both highly reliable sources and Wikipedia, which may be less so. Integrating CalSWIM with a trust management system enables it to use not only recency but also quality as its criteria, and thus filter out vandalized or poor-quality content.