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STiki: An anti-vandalism tool for wikipedia using spatio-temporal analysis of revision metadata
Abstract STiki is an anti-vandalism tool for WikipeSTiki 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 our 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). Our demonstration will provide an introduction to spatio-temporal properties, demonstrate the STiki software, and discuss alternative research uses for the open-source code.ve research uses for the open-source code.
Abstractsub STiki is an anti-vandalism tool for WikipeSTiki 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 our 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). Our demonstration will provide an introduction to spatio-temporal properties, demonstrate the STiki software, and discuss alternative research uses for the open-source code.ve research uses for the open-source code.
Bibtextype inproceedings  +
Doi 10.1145/1832772.1832814  +
Has author West A.G. + , Sampath Kannan + , Insup Lee +
Has extra keyword End-users + , Language independents + , Natural Language Processing + , Open-source code + , Server-side processing + , Spatio-temporal properties + , Spatiotemporal analysis + , Wikipedia + , Computational linguistics + , Light polarization + , Natural language processing systems + , Metadata +
Isbn 9781450300568  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in WikiSym 2010 +
Title STiki: An anti-vandalism tool for wikipedia using spatio-temporal analysis of revision metadata +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 8 November 2014 06:15:42  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 06:15:42  +
DateThis property is a special property in this wiki. 2010  +
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STiki: An anti-vandalism tool for wikipedia using spatio-temporal analysis of revision metadata + Title
 

 

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