Conference proceeding
The illiterate editor: metadata-driven revert detection in Wikipedia
Proceedings of the 9th International Symposium on open collaboration
05 Aug 2013
Abstract
As the community depends more heavily on Wikipedia as a source of reliable information, the ability to quickly detect and remove detrimental information becomes increasingly important. The longer incorrect or malicious information lingers in a source perceived as reputable, the more likely that information will be accepted as correct and the greater the loss to source reputation. We present The Illiterate Editor (IllEdit), a content-agnostic, metadata-driven classification approach to Wikipedia revert detection. Our primary contribution is in building a metadata-based feature set for detecting edit quality, which is then fed into a Support Vector Machine for edit classification. By analyzing edit histories, the IllEdit system builds a profile of user behavior, estimates expertise and spheres of knowledge, and determines whether or not a given edit is likely to be eventually reverted. The success of the system in revert detection (0.844 F-measure) as well as its disjoint feature set as compared to existing, content-analyzing vandalism detection systems, shows promise in the synergistic usage of IllEdit for increasing the reliability of community information.
Metrics
7 Record Views
5 citations in Scopus
Details
- Title
- The illiterate editor
- Creators
- Jeffrey Segall - Drexel UniversityRachel Greenstadt - Drexel University
- Publication Details
- Proceedings of the 9th International Symposium on open collaboration
- Conference
- 9th International Symposium on open collaboration, 9th
- Series
- WikiSym '13
- Publisher
- Association for Computing Machinery (ACM)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-84888150610
- Other Identifier
- 991019173888704721