@inproceedings{c06e4bacf6cd40ac8f57f4d3c5c15885,
title = "An ACT-R model of credibility judgment of micro-blogging web pages",
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.",
keywords = "ACT-R, Web credibility judgment",
author = "{Vera Liao}, Q. and Peter Pirolli and Fu, {Wai Tat}",
year = "2012",
month = dec,
day = "1",
language = "English (US)",
isbn = "9783798324084",
series = "Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012",
pages = "103--108",
booktitle = "Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012",
note = "11th International Conference on Cognitive Modeling, ICCM 2012 ; Conference date: 13-04-2012 Through 15-04-2012",
}