Extracting Trust from Domain Analysis: A Case Study on the Wikipedia Project
|Extracting Trust from Domain Analysis: A Case Study on the Wikipedia Project|
|Author(s)||Pierpaolo Dondio, Stephen Barrett, Stefan Weber, Jean Seigneur|
|Published in||Autonomic and Trusted Computing|
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Extracting Trust from Domain Analysis: A Case Study on the Wikipedia Project is a 2006 publication written in English by Pierpaolo Dondio, Stephen Barrett, Stefan Weber, Jean Seigneur and published in Autonomic and Trusted Computing.
The problem of identifying trustworthy information on the World Wide Web is becoming increasingly acute as new tools such as wikis and blogs simplify and democratize publications. Wikipedia is the most extraordinary example of this phenomenon and, although a few mechanisms have been put in place to improve contributions quality, trust in Wikipedia content quality has been seriously questioned. We thought that a deeper understanding of what in general defines high-standard and expertise in domains related to Wikipedia â i.e. content quality in a collaborative environment â mapped onto Wikipedia elements would lead to a complete set of mechanisms to sustain trust in Wikipedia context. Our evaluation, conducted on about 8,000 articles representing 65% of the overall Wikipedia editing activity, shows that the new trust evidence that we extracted from Wikipedia allows us to transparently and automatically compute trust values to isolate articles of great or low quality.
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Cited byThis publication has 2 citations. Only those publications available in WikiPapers are shown here:
- GreenWiki: a tool to support users' assessment of the quality of Wikipedia articles
- Um método automático para estimativa da qualidade de enciclopédias colaborativas on-line: um estudo de caso sobre a Wikipédia