Difference between revisions of "Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool"
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| + | | title = Spatio-Temporal Analysis of Wikipedia Metadata and the Stiki Anti-Vandalism Tool | ||
| + | | date = 2010 | ||
| + | | authors = [[Andrew G. West]]<br />[[Sampath Kannan]]<br />[[Insup Lee]] | ||
| + | | doi = 10.1145/1832772.1832797 | ||
| + | | link = http://dl.acm.org/citation.cfm?id=1832772.1832797 | ||
| + | }} | ||
'''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]]. | '''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. | 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 09:18, 11 August 2019
Authors | Andrew G. West Sampath Kannan Insup Lee |
|---|---|
Publication date | 2010 |
DOI | 10.1145/1832772.1832797 |
Links | Original |
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.
