R. Priedhorsky, Jilin Chen, S. K. Lam, Katherine A. Panciera, L. Terveen, J. Riedl
{"title":"Creating, destroying, and restoring value in wikipedia","authors":"R. Priedhorsky, Jilin Chen, S. K. Lam, Katherine A. Panciera, L. Terveen, J. Riedl","doi":"10.1145/1316624.1316663","DOIUrl":null,"url":null,"abstract":"Wikipedia's brilliance and curse is that any user can edit any of the encyclopedia entries. We introduce the notion of the impact of an edit, measured by the number of times the edited version is viewed. Using several datasets, including recent logs of all article views, we show that an overwhelming majority of the viewed words were written by frequent editors and that this majority is increasing. Similarly, using the same impact measure, we show that the probability of a typical article view being damaged is small but increasing, and we present empirically grounded classes of damage. Finally, we make policy recommendations for Wikipedia and other wikis in light of these findings.","PeriodicalId":445069,"journal":{"name":"Proceedings of the 2007 ACM International Conference on Supporting Group Work","volume":"66 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"377","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 ACM International Conference on Supporting Group Work","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1316624.1316663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 377
Abstract
Wikipedia's brilliance and curse is that any user can edit any of the encyclopedia entries. We introduce the notion of the impact of an edit, measured by the number of times the edited version is viewed. Using several datasets, including recent logs of all article views, we show that an overwhelming majority of the viewed words were written by frequent editors and that this majority is increasing. Similarly, using the same impact measure, we show that the probability of a typical article view being damaged is small but increasing, and we present empirically grounded classes of damage. Finally, we make policy recommendations for Wikipedia and other wikis in light of these findings.