An ACT-R model of credibility judgment of micro-blogging web pages

Q. Vera Liao, Peter Pirolli, Wai Tat Fu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an ACT-R cognitive model for making credibility judgments about the credibility of Twitter authors. We abstracted the cognitive processes involved in three levels: attending to information on Web page, comprehending information to identify credibility cues, and integrating credibility cues to make a judgment. We represent basic knowledge required for making credibility judgment using declarative memory in ACT-R which is seeded with experiences of Twitter messages that have been passed through a Latent Dirichlet Allocation topic modeling process. Comparisons of model credibility judgments to human credibility judgments from controlled experiments show weak to strong correlations that range from r = 0.31 to r = 0.83 depending on the specific task.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012
Pages103-108
Number of pages6
StatePublished - Dec 1 2012
Event11th International Conference on Cognitive Modeling, ICCM 2012 - Berlin, Germany
Duration: Apr 13 2012Apr 15 2012

Publication series

NameProceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012

Other

Other11th International Conference on Cognitive Modeling, ICCM 2012
CountryGermany
CityBerlin
Period4/13/124/15/12

Keywords

  • ACT-R
  • Web credibility judgment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modeling and Simulation

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