Departmental Papers (CIS)

Date of this Version

7-2010

Document Type

Other

Comments

6th International Symposium on Wikis and Open Collaboration (WikiSym '10), Gdańsk, Poland, July 7-9, 2010.

Abstract

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

Subject Area

CPS Internet of Things

Publication Source

6th International Symposium on Wikis and Open Collaboration (WikiSym '10)

Start Page

Article No. 18

DOI

10.1145/1832772.1832797

Copyright/Permission Statement

© ACM 2010. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 6th International Symposium on Wikis and Open Collaboration (WikiSym '10), http://dx.doi.org/10.1145/1832772.1832797.

Keywords

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

Additional Files

wikisym_poster.pdf (1007 kB)

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Date Posted: 05 January 2011

This document has been peer reviewed.