Understanding and predicting Web content credibility using the Content Credibility Corpus

Kąkol, Michał; Nielek, Radosław; Wierzbicki, Adam

doi:10.1016/j.ipm.2017.04.003

Cited by 57 publications

(28 citation statements)

References 10 publications

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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%

National culture and trust in online health information

Khosrowjerdi

2019

Journal of Librarianship and Information Science

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This article contributes to the ever-increasing body of research on online health information-seeking behaviour. Specifically, this study shows that national culture is a determinant of trust in online health information. A questionnaire-based survey collected the data from undergraduate students on the factors influencing their trust formation toward online health information. The cultural comparisons revealed differences between the trust formations of Americans, Chinese and South Koreans in the online health environment. The trust formation of the Chinese group was based on the three factors of information quality, information style and information verification. For the American group, the information quality, information style, ease of use and information verification were the four antecedents of trust. The South Korean group considered more clues during their trust formation process than the Chinese and American groups did. Furthermore, information verification was a stronger predictor of trust for the South Korean group. The findings were discussed in light of national culture theories, and the future research agenda was presented.

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Section: Literature Review and Hypotheses Developmentsupporting

confidence: 59%

National culture and trust in online health information

Khosrowjerdi

2019

Journal of Librarianship and Information Science

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“…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%

Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation

Kawiak

Wójcik

Schneider

et al. 2020

Front. Neuroinform.

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Understanding how humans evaluate credibility is an important scientific question in the era of fake news. Source credibility is among the most important aspects of credibility evaluations. One of the most direct ways to understand source credibility is to use measurements of brain activity of humans performing credibility evaluations. Nevertheless, source credibility has never been investigated using such a method before. This article reports the results of an experiment during which we have measured brain activity during source credibility evaluation, using EEG. The experiment allowed for identification of brain areas that were active when a participant made positive or negative source credibility evaluations. Based on experimental data, we modeled and predicted human source credibility evaluations using EEG brain activity measurements with F1 score exceeding 0.7 (using 10-fold cross-validation).

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“…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%

From Accessibility to Assess-Ability: An Evaluation Heuristic Based on Cognitive Engagement in Search

Johnson

2018

Transforming Digital Worlds

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This investigation into information searching behaviour focuses on the users' critical assessment of information when found in response to an information need, and on the cognitive aspects of search involving in the user in the assimilation of the information found. The meta analysis of a questionnaire based survey seeks to identify the constructs of the users' assessment of information. Factor analysis of the participants' responses identifies the assessment of the 'cognitive relevance' as vital in distinguishing the searcher who appears to be intent on finding information as opposed to one engaged in the relatively simple task of looking up information. The value in the development of the questionnaire designed to identify the users' cognitive engagement in search is considered for testing the interface designed to optimize the user's involvement in search. Turning to the question of the design of the interface itself, the heuristic of assessability (of the information retrieved) is proposed for use in the expert review of the search interface, and to support the user in their critical assessment and verification of the information relevancy, quality and credibility.

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Understanding and predicting Web content credibility using the Content Credibility Corpus

Cited by 57 publications

References 10 publications

National culture and trust in online health information

National culture and trust in online health information

Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation

From Accessibility to Assess-Ability: An Evaluation Heuristic Based on Cognitive Engagement in Search

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