A content-driven reputation system for the wikipedia Export

@inproceedings{citeulike:1291537, abstract = {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.}, address = {New York, NY, USA}, author = {Adler, B. Thomas and de Alfaro, Luca}, booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web}, citeulike-article-id = {1291537}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1242572.1242608}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1242572.1242608}, doi = {10.1145/1242572.1242608}, isbn = {978-1-59593-654-7}, keywords = {quality, wikipedia}, location = {Banff, Alberta, Canada}, pages = {261--270}, posted-at = {2007-07-26 16:50:58}, priority = {0}, publisher = {ACM}, title = {A content-driven reputation system for the wikipedia}, url = {http://dx.doi.org/10.1145/1242572.1242608}, year = {2007} }

TY - CONF ID - citeulike:1291537 L3 - citeulike-article-id:1291537 N2 - 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. CY - Banff, Alberta, Canada SN - 978-1-59593-654-7 AD - New York, NY, USA EP - 270 TI - A content-driven reputation system for the wikipedia PB - ACM T2 - WWW '07: Proceedings of the 16th international conference on World Wide Web SP - 261 KW - quality KW - wikipedia AU - Adler, Thomas AU - de Alfaro, Luca PY - 2007/// UR - http://dx.doi.org/10.1145/1242572.1242608 ER -