Spatio-temporal analysis of Wikipedia metadata and the STiki anti-vandalism tool

  • Authors:
  • Andrew G. West;Sampath Kannan;Insup Lee

  • Affiliations:
  • University of Pennsylvania, Philadelphia, PA;University of Pennsylvania, Philadelphia, PA;University of Pennsylvania, Philadelphia, PA

  • Venue:
  • Proceedings of the 6th International Symposium on Wikis and Open Collaboration
  • Year:
  • 2010

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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.