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Extracting trust from domain analysis: A case study on the wikipedia project
Abstract The problem of identifying trustworthy infThe 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 - i.e. content quality in a collaborative environment - 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. isolate articles of great or low quality.
Abstractsub The problem of identifying trustworthy infThe 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 - i.e. content quality in a collaborative environment - 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. isolate articles of great or low quality.
Bibtextype inproceedings  +
Has author Pierpaolo Dondio + , Stephen Barrett + , Sebastian Weber + , Seigneur J.M. +
Has extra keyword Democratize publications + , Trust management + , Wikipedia content quality + , Wikipedia project + , Computer aided software engineering + , Distributed computer systems + , Problem solving + , Project management + , Quality control + , World Wide Web + , Information management +
Isbn 354038619X; 9783540386193  +
Language English +
Number of citations by publication 2  +
Number of references by publication 0  +
Pages 362–373  +
Published in Lecture Notes in Computer Science +
Title Extracting trust from domain analysis: A case study on the wikipedia project +
Type conference paper  +
Volume 4158 LNCS  +
Year 2006 +
Creation dateThis property is a special property in this wiki. 7 November 2014 20:55:45  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI 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. 7 November 2014 20:55:45  +
DateThis property is a special property in this wiki. 2006  +
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