Difference between revisions of "Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata"

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== Overview ==
 
== Overview ==
 
STiki is an anti-vandalism tool for [[Wikipedia]]. Unlike similar tools, STiki does not rely on [[natural language processing]] (NLP) over the article or diff text to locate vandalism. Instead, STiki leverages spatio-temporal properties of revision metadata. The feasibility of utilizing such properties was demonstrated in prior work, which found they perform comparably to NLP-efforts while being more efficient, robust to evasion, and language independent. STiki is a real-time, on-Wikipedia implementation based on these properties. It consists of, (1) a server-side processing engine that examines revisions, scoring the likelihood each is vandalism, and, (2) a client-side GUI that presents likely vandalism to end-users for definitive classification (and if necessary, reversion on Wikipedia). Authors demonstration will provide an introduction to spatio-temporal properties, demonstrate the STiki software, and discuss alternative research uses for the [[open-source]] code.
 
STiki is an anti-vandalism tool for [[Wikipedia]]. Unlike similar tools, STiki does not rely on [[natural language processing]] (NLP) over the article or diff text to locate vandalism. Instead, STiki leverages spatio-temporal properties of revision metadata. The feasibility of utilizing such properties was demonstrated in prior work, which found they perform comparably to NLP-efforts while being more efficient, robust to evasion, and language independent. STiki is a real-time, on-Wikipedia implementation based on these properties. It consists of, (1) a server-side processing engine that examines revisions, scoring the likelihood each is vandalism, and, (2) a client-side GUI that presents likely vandalism to end-users for definitive classification (and if necessary, reversion on Wikipedia). Authors demonstration will provide an introduction to spatio-temporal properties, demonstrate the STiki software, and discuss alternative research uses for the [[open-source]] code.
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== Embed ==
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=== Wikipedia Quality ===
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West, Andrew G.; Kannan, Sampath; Lee, Insup. (2010). "[[Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata]]".DOI: 10.1145/1832772.1832814.
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=== English Wikipedia ===
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{{cite journal |last1=West |first1=Andrew G. |last2=Kannan |first2=Sampath |last3=Lee |first3=Insup |title=Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata |date=2010 |doi=10.1145/1832772.1832814 |url=https://wikipediaquality.com/wiki/Stiki:_an_Anti-Vandalism_Tool_for_Wikipedia_Using_Spatio-Temporal_Analysis_of_Revision_Metadata}}
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=== HTML ===
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West, Andrew G.; Kannan, Sampath; Lee, Insup. (2010). &amp;quot;<a href="https://wikipediaquality.com/wiki/Stiki:_an_Anti-Vandalism_Tool_for_Wikipedia_Using_Spatio-Temporal_Analysis_of_Revision_Metadata">Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata</a>&amp;quot;.DOI: 10.1145/1832772.1832814.
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Revision as of 10:45, 14 May 2020


Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata
Authors
Andrew G. West
Sampath Kannan
Insup Lee
Publication date
2010
DOI
10.1145/1832772.1832814
Links
Original

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

Overview

STiki is an anti-vandalism tool for Wikipedia. Unlike similar tools, STiki does not rely on natural language processing (NLP) over the article or diff text to locate vandalism. Instead, STiki leverages spatio-temporal properties of revision metadata. The feasibility of utilizing such properties was demonstrated in prior work, which found they perform comparably to NLP-efforts while being more efficient, robust to evasion, and language independent. STiki is a real-time, on-Wikipedia implementation based on these properties. It consists of, (1) a server-side processing engine that examines revisions, scoring the likelihood each is vandalism, and, (2) a client-side GUI that presents likely vandalism to end-users for definitive classification (and if necessary, reversion on Wikipedia). Authors demonstration will provide an introduction to spatio-temporal properties, demonstrate the STiki software, and discuss alternative research uses for the open-source code.

Embed

Wikipedia Quality

West, Andrew G.; Kannan, Sampath; Lee, Insup. (2010). "[[Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata]]".DOI: 10.1145/1832772.1832814.

English Wikipedia

{{cite journal |last1=West |first1=Andrew G. |last2=Kannan |first2=Sampath |last3=Lee |first3=Insup |title=Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata |date=2010 |doi=10.1145/1832772.1832814 |url=https://wikipediaquality.com/wiki/Stiki:_an_Anti-Vandalism_Tool_for_Wikipedia_Using_Spatio-Temporal_Analysis_of_Revision_Metadata}}

HTML

West, Andrew G.; Kannan, Sampath; Lee, Insup. (2010). &quot;<a href="https://wikipediaquality.com/wiki/Stiki:_an_Anti-Vandalism_Tool_for_Wikipedia_Using_Spatio-Temporal_Analysis_of_Revision_Metadata">Stiki: an Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata</a>&quot;.DOI: 10.1145/1832772.1832814.