Departmental Papers (CIS)

Document Type

Other

Date of this Version

7-2010

Comments

Suggested Citation:
West, A.G., S. Kannan, and I. Lee. (2010). "STiki: an anti-vandalism tool for Wikipedia using spatio-temporal analysis of revision metadata." Proceedings of the 6th International Symposium on Wikis and Open Collaboration (WikiSym '10). Article No. 32 , 2 pages. Gdańsk, Poland. July 7-9, 2010.

© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 6th International Symposium on Wikis and Open Collaboration (WikiSym '10). http://doi.acm.org/10.1145/1832772.1832814

Abstract

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 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 classiffcation (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.

Keywords

Wikipedia, collaborative applications, information security, intelligent routing, spatio-temporal processing

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Date Posted: 05 January 2011

This document has been peer reviewed.