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Context-Aware Twitter Validator (CATVal): a system to validate credibility and authenticity of Twitter content for use in decision support systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
CSIRO, Australia.
2012 (English)In: Fusing Decision Support Systems into the Fabric of the Context / [ed] Ana Respício; Frada Burstein, Anávissos, Greece: IOS Press, 2012, 323-334 p.Conference paper, Published paper (Refereed)
Abstract [en]

Decision support systems (DSS) are beginning to use content sourced from social networks such as Twitter to provide decision makers with information to make timely and critical decisions. Misleading information obtained from Twitter can lead to adverse outcomes as well as cause trust issues within DSSs. In this paper, we propose and investigate a context-aware Twitter validator (CATVal) system to validate credibility and authenticity of Twitter content at run-time for use in DSS. We build, store and update a credibility index for Twitter users and verify user's context information each time a user tweets. The proposed system can benefit a DSS by providing credible and dependable information while detecting misleading and false information sourced from Twitter and possible other social media.

Place, publisher, year, edition, pages
Anávissos, Greece: IOS Press, 2012. 323-334 p.
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 238
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-39568DOI: 10.3233/978-1-61499-073-4-323Local ID: e616b9e0-5927-4dfe-a2ec-ceff15da29aaISBN: 978-1-61499-072-7 (print)ISBN: 978-1-61499-073-4 (electronic)OAI: oai:DiVA.org:ltu-39568DiVA: diva2:1013082
Conference
IFIP WG8.3 International Conference on Decision Support Systems : 28/06/2012 - 30/06/2012
Note
Validerad; 2013; 20130423 (saguna)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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