Difference between revisions of "Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool"

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'''Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool''' - scientific work related to Wikipedia quality published in 2010, written by Andrew G. West, Sampath Kannan and Insup Lee.
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'''Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Andrew G. West]], [[Sampath Kannan]] and [[Insup Lee]].
  
 
== Overview ==
 
== Overview ==
The bulk of Wikipedia anti-vandalism tools require natural language processing over the article or diff text. However, 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. Authors 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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The bulk of [[Wikipedia]] anti-vandalism tools require [[natural language processing]] over the article or diff text. However, 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. Authors 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.

Revision as of 22:54, 18 July 2019

Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool - scientific work related to Wikipedia quality published in 2010, written by Andrew G. West, Sampath Kannan and Insup Lee.

Overview

The bulk of Wikipedia anti-vandalism tools require natural language processing over the article or diff text. However, 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. Authors 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.