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Assigning trust to Wikipedia content
Abstract The Wikipedia is a collaborative encyclopeThe Wikipedia is a collaborative encyclopedia: anyone can contribute to its articles simply by clicking on an "edit" button. The open nature of the Wikipedia has been key to its success, but has also created a challenge: how can readers develop an informed opinion on its reliability? We propose a system that computes quantitative values of trust for the text in Wikipedia articles; these trust values provide an indication of text reliability. The system uses as input the revision history of each article, as well as information about the reputation of the contributing authors, as provided by a reputation system. The trust of a word in an article is computed on the basis of the reputation of the original author of the word, as well as the reputation of all authors who edited text near the word. The algorithm computes word trust values that vary smoothly across the text; the trust values can be visualized using varying text-background colors. The algorithm ensures that all changes to an article's text are reflected in the trust values, preventing surreptitious content changes. We have implemented the proposed system, and we have used it to compute and display the trust of the text of thousands of articles of the English Wikipedia. To validate our trust-computation algorithms, we show that text labeled as low-trust has a significantly higher probability of being edited in the future than text labeled as high-trust.he future than text labeled as high-trust.
Added by wikilit team Added on initial load  +
Collected data time dimension Longitudinal  +
Conclusion The results on precision and recall, word The results on precision and recall, word longevity prediction, and trust distribution overall indicate that the trust we compute has indeed a predictive value with respect to future text stability. As mentioned in the introduction, this is an indication that the trust system provides valuable information; the visitors to our on-line demo seemed, in anedoctical fashion, to corroborate this finding.tical fashion, to corroborate this finding.
Conference location New York, USA +
Data source Wikipedia pages  +
Doi 10.1145/1822258.1822293 +
Google scholar url  +
Has author B. Thomas Adler + , Krishnendu Chatterjee + , Marco Faella + , Luca de Alfaro + , Ian Pye + , Vishwanath Raman +
Has domain Computer science +
Has topic Reputation systems +
Pages 26:1-26:12  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in International Symposium on Wikis +
Publisher Association for Computing Machinery +
Research design Mathematical modeling  +
Research questions We introduce a trust system for Wikipedia We introduce a trust system for Wikipedia that computes, and displays, a value of trust for each word of each article version of Wikipedia. The trust value of a word is computed according to the degree in which the word, and the immediately surrounding text, has been revised by previous authors and editors. The computation takes into account both the amount of revision, and the reputation of the people performing the revision, as computed by a separate reputation system [1].puted by a separate reputation system [1].
Revid 10,670  +
Theories Undetermined
Theory type Design and action  +
Title Assigning trust to Wikipedia content
Unit of analysis Edit  +
Url  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  +
Year 2008  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:24:08  +
Categories Reputation systems  + , Computer science  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:20:45  +
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