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Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts
Conference on Human Factors in Computing Systems - Proceedings ; 2023.
Article Dans Anglais | Scopus | ID: covidwho-20243600
ABSTRACT
Fact-checking messages are shared or ignored subjectively. Users tend to seek like-minded information and ignore information that conflicts with their preexisting beliefs, leaving like-minded misinformation uncontrolled on the Internet. To understand the factors that distract fact-checking engagement, we investigated the psychological characteristics associated with users' selective avoidance of clicking uncongenial facts. In a pre-registered experiment, we measured participants' (N = 506) preexisting beliefs about COVID-19-related news stimuli. We then examined whether they clicked on fact-checking links to false news that they believed to be accurate. We proposed an index that divided participants into fact-avoidance and fact-exposure groups using a mathematical baseline. The results indicated that 43% of participants selectively avoided clicking on uncongenial facts, keeping 93% of their false beliefs intact. Reflexiveness is the psychological characteristic that predicts selective avoidance. We discuss susceptibility to click bias that prevents users from utilizing fact-checking websites and the implications for future design. © 2023 Owner/Author.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Études expérimentales / Étude pronostique / Essai contrôlé randomisé langue: Anglais Revue: Conference on Human Factors in Computing Systems - Proceedings Année: 2023 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Études expérimentales / Étude pronostique / Essai contrôlé randomisé langue: Anglais Revue: Conference on Human Factors in Computing Systems - Proceedings Année: 2023 Type de document: Article