Spatio-temporal analysis of Wikipedia metadata and the STiki anti-vandalism tool
Author(s) -
Andrew G. West,
Sampath Kannan,
Insup Lee
Publication year - 2010
Publication title -
scholarlycommons (university of pennsylvania)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1832772.1832797
Subject(s) - metadata , computer science , world wide web , work (physics) , information retrieval , data science , engineering , mechanical engineering
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.
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