2017
DOI: 10.1016/j.ipm.2017.04.003
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Understanding and predicting Web content credibility using the Content Credibility Corpus

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Cited by 61 publications
(30 citation statements)
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“…Rowley and colleagues (2015) identified six factors as being the antecedents of trust in OHI: information quality, information style, the brand of the source, personal recommendations, information verification and ease of use. The noted factors are in accordance with the factors which influence the general web credibility judgment of the users (Kakol et al, 2017). Information quality is the currency, comprehensiveness, reliability and accuracy of the retrieved information (Escoffery et al, 2005; Rowley et al, 2015).…”
Section: Literature Review and Hypotheses Developmentsupporting
confidence: 59%
“…Rowley and colleagues (2015) identified six factors as being the antecedents of trust in OHI: information quality, information style, the brand of the source, personal recommendations, information verification and ease of use. The noted factors are in accordance with the factors which influence the general web credibility judgment of the users (Kakol et al, 2017). Information quality is the currency, comprehensiveness, reliability and accuracy of the retrieved information (Escoffery et al, 2005; Rowley et al, 2015).…”
Section: Literature Review and Hypotheses Developmentsupporting
confidence: 59%
“…Information scientists have studied credibility evaluations with the goal of designing systems that could evaluate Web content credibility automatically or support human experts in making credibility evaluations (Wawer et al, 2014;Liu et al, 2015;Kakol et al, 2017). However, human credibility evaluations are often subjective, biased or otherwise unreliable (Kakol et al, 2013;Rafalak et al, 2014), making it necessary to search for new methods of credibility evaluation, such as the EEG-based methods proposed in this article.…”
Section: Source Message Media Credibilitymentioning
confidence: 99%
“…The types of questions that may be posed in developing the assessability heuristics may be drawn from recent studies that reveal the features that people claim to use when assessing information. The C3 (Content Credibility Corpus) [15] containing 15,750 evaluations of 5543 Webpages by 2041 participants, for example includes over 7071 annotated textual justifications of credibility evaluations of over 1361 Webpages. Analysis of these comments involved labelling the factors mentioned as influencing credibility assessment and were grouped into six categories.…”
Section: Discussion: Assess-ability As a New Evaluation Heuristicmentioning
confidence: 99%