Departmental Papers (CIS)
Document Type
Other
Date of this Version
7-2010
Abstract
The bulk of Wikipedia anti-vandalism tools require natural language processing over the article or diff text. However, our prior work demonstrated the feasibility of using spatio-temporal properties to locate malicious edits. STiki is a real-time, on-Wikipedia tool leveraging this technique.
The associated poster reviews STiki's methodology and performance. We find competing anti-vandalism tools inhibit maximal performance. However, the tool proves particularly adept at mitigating long-term embedded vandalism. Further, its robust and language-independent nature make it well-suited for use in less-patrolled Wiki installations.
Keywords
Wikipedia, collaborative applications, information security, intelligent routing, spatio-temporal processing
Date Posted: 05 January 2011
This document has been peer reviewed.
Comments
Suggested Citation:
West, A.G., S. Kannan, and I. Lee. (2010). "Spatio-temporal analysis of Wikipedia metadata and the STiki anti-vandalism tool." Proceedings of the 6th International Symposium on Wikis and Open Collaboration., Article 18 , 2 pages. Gdańsk, Poland. July 7-9, 2010.
© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 6th International Symposium on Wikis and Open Collaboration. http://doi.acm.org/10.1145/1832772.1832797