Extracting trust from domain analysis: A case study on the wikipedia project

Pierpaolo Dondio, Stephen Barrett, Stefan Weber, Jean Marc Seigneur

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 - 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.

Original languageEnglish
Title of host publicationAutonomic and Trusted Computing - Thrid International Conference, ATC 2006, Proceedings
PublisherSpringer Verlag
Pages362-373
Number of pages12
ISBN (Print)354038619X, 9783540386193
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventThrid International Conference on Autonomic and Trusted Computing, ATC 2006 - Wuhan, China
Duration: 3 Sep 20066 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4158 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThrid International Conference on Autonomic and Trusted Computing, ATC 2006
Country/TerritoryChina
CityWuhan
Period3/09/066/09/06

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