History: Spatio-Temporal Analysis of Wikipedia Metadata and the STiki Anti-Vandalism Tool
Source of version: 3 (current)
!Spatio-Temporal Analysis of Wikipedia Metadata and the STiki Anti-Vandalism Tool
__Track__: Posters
__Authors__: Andrew West, Sampath Kannan and Insup Lee (University of Pennsylvania, USA)
__Poster__: [http://www.cis.upenn.edu/~westand/docs/wikisym_poster.pdf|POSTER]
__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.
__Track__: Posters
__Authors__: Andrew West, Sampath Kannan and Insup Lee (University of Pennsylvania, USA)
__Poster__: [http://www.cis.upenn.edu/~westand/docs/wikisym_poster.pdf|POSTER]
__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.