Context-aware twitter validator (CATVal): A system to validate credibility and authenticity of twitter content for use in decision support systems

Saguna, Arkady Zaslavsky, Cécile Paris

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationFusing decision support systems into the fabric of the context
EditorsAna Respicio, Frada Burstein
PublisherIOS Press
Pages323-334
Number of pages12
ISBN (Print)9781614990727
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event16th IFIP Working Group 8.3 International Conference on Decision Support Systems (DSS) - Anávissos, Greece
Duration: 27 Jun 201230 Jun 2012

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume238
ISSN (Print)09226389

Conference

Conference16th IFIP Working Group 8.3 International Conference on Decision Support Systems (DSS)
CountryGreece
CityAnávissos
Period27/06/1230/06/12

Keywords

  • context-awareness
  • Decision support system
  • social networks

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