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A case study of sockpuppet detection in wikipedia.
| Content Provider | CiteSeerX |
|---|---|
| Author | Solorio, Thamar Hasan, Ragib Mizan, Mainul |
| Abstract | This paper presents preliminary results of using authorship attribution methods for the detection of sockpuppeteering in Wikipedia. Sockpuppets are fake accounts created by malicious users to bypass Wikipedia’s regulations. Our dataset is composed of the comments made by the editors on the talk pages. To overcome the limitations of the short lengths of these comments, we use an voting scheme to combine predictions made on individual user entries. We show that this approach is promising and that it can be a viable alternative to the current human process that Wikipedia uses to resolve suspected sockpuppet cases. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Sockpuppet Detection Case Study Wikipedia Regulation Preliminary Result Fake Account Authorship Attribution Method Viable Alternative Voting Scheme Talk Page Individual User Entry Malicious User Short Length Suspected Sockpuppet Case Current Human Process |
| Content Type | Text |
| Resource Type | Article |
