Investigation into trust for collaborative information repositories: a Wikipedia case study

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Investigation into trust for collaborative information repositories: a Wikipedia case study
Authors: Deborah L. McGuinness, Honglei Zeng, Paulo Pinheiro da Silva, Li Ding, Dhyanesh Narayanan, Mayukh Bhaowal [edit item]
Citation: Workshop on Models of Trust for the Web  : . 2006.
Publication type: Conference paper
Peer-reviewed: Yes
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Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Investigation into trust for collaborative information repositories: a Wikipedia case study is a publication by Deborah L. McGuinness, Honglei Zeng, Paulo Pinheiro da Silva, Li Ding, Dhyanesh Narayanan, Mayukh Bhaowal.


[edit] Abstract

As collaborative repositories grow in popularity and use, issues concerning the quality and trustworthiness of information grow. Some current popular repositories contain contributions from a wide variety of users, many of which will be unknown to a potential end user. Additionally the content may change rapidly and information that was previously contributed by a known user may be updated by an unknown user. End users are now faced with more challenges as they evaluate how much they may want to rely on information that was generated and updated in this manner. A trust management layer has become an important requirement for the continued growth and acceptance of collaboratively developed and maintained information resources. In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information. We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting.

[edit] Research questions

"In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information. We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting."

Research details

Topics: Featured articles, Vandalism, Reader perceptions of credibility, Computational estimation of trustworthiness [edit item]
Domains: Computer science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Main topic [edit item]
Theories: "Undetermined" [edit item]
Research design: Case study, Mathematical modeling [edit item]
Data source: Wikipedia pages [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: Article, Edit, User [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article, History [edit item]
Wikipedia language: Not specified [edit item]

[edit] Conclusion

[edit] Comments


Further notes[edit]

Facts about "Investigation into trust for collaborative information repositories: a Wikipedia case study"RDF feed
AbstractAs collaborative repositories grow in popuAs collaborative repositories grow in popularity and use, issues concerning the quality and trustworthiness of information grow. Some current popular repositories contain contributions from a wide variety of users, many of which will be unknown to a potential end user. Additionally the content may change rapidly and information that was previously contributed by a known user may be updated by an unknown user. End users are now faced with more challenges as they evaluate how much they may want to rely on information that was generated and updated in this manner. A trust management layer has become an important requirement for the continued growth and acceptance of collaboratively developed and maintained information resources. In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information. We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting.red in our work that we found interesting.
Added by wikilit teamAdded on initial load +
Collected data time dimensionLongitudinal +
Data sourceWikipedia pages +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Investigation%2Binto%2Btrust%2Bfor%2Bcollaborative%2Binformation%2Brepositories%3A%2Ba%2BWikipedia%2Bcase%2Bstudy%22 +
Has authorDeborah L. McGuinness +, Honglei Zeng +, Paulo Pinheiro da Silva +, Li Ding +, Dhyanesh Narayanan + and Mayukh Bhaowal +
Has domainComputer science +
Has topicFeatured articles +, Vandalism +, Reader perceptions of credibility + and Computational estimation of trustworthiness +
Peer reviewedYes +
Publication typeConference paper +
Published inWorkshop on Models of Trust for the Web +
Research designCase study + and Mathematical modeling +
Research questionsIn this paper, we will describe our initiaIn this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information. We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting.red in our work that we found interesting.
Revid10,834 +
TheoriesUndetermined
Theory typeDesign and action +
TitleInvestigation into trust for collaborative information repositories: a Wikipedia case study
Unit of analysisArticle +, Edit + and User +
Urlhttp://nrl.iis.sinica.edu.tw/Web2.0/presentation/1113-present2.pdf +
Wikipedia coverageMain topic +
Wikipedia data extractionDump +
Wikipedia languageNot specified +
Wikipedia page typeArticle + and History +
Year2006 +