document: A content-driven reputation system for the wikipedia We present a content-driven reputation system for Wikipedia authors . In our system , authors gain reputation when the edits they perform to Wikipedia articles are preserved by subsequent authors , and they lose reputation when their edits are rolled back or undone in short order . Thus , author reputation is computed solely on the basis of content evolution ; user-to-user comments or ratings are not used . The author reputation we compute could be used to flag new contributions from low-reputation authors , or it could be used to allow only authors with high reputation to contribute to controversialor critical pages . A reputation system for the Wikipedia could also provide an incentive for high-quality contributions . We have implemented the proposed system , and we have used it to analyze the entire Italian and French Wikipedias , consisting of a total of 691 , 551 pages and 5 , 587 , 523 revisions . Our results show that our notion of reputation has good predictive value : changes performed by low-reputation authors have a significantly larger than average probability of having poor quality , as judged by human observers , and of being later undone , as measured by our algorithms .
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