FakeNewsPerception: An eye movement dataset on the perceived believability of news stories

Data in Brief

Enkelejda Kasneci¹  Sven Grüner²  Efe Bozkir³  Ömer Sümer³  Thomas Kübler³  Sonja Utz⁴ 

[1] Department of Psychology, University of Tübingen, Tübingen, Germany;Faculty of Natural Sciences, Martin Luther University Halle-Wittenberg, Halle, Germany;Human-Computer Interaction, Department of Computer Science, University of Tübingen, Tübingen, Germany;Leibniz-Institut für Wissensmedien, Tübingen, Germany;

关键词: Fake news perception;    Eye tracking dataset;    Scanpath comparison;    Eye movements;    Reading comprehension;    Misinformation;   

DOI  :  

来源: DOAJ

【 摘 要 】

Extensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet cannot be fully fact-checked and, as a result, misinformation can spread in a fast and easy way. Recently, psychologists and economists have shown in many experiments that prior beliefs, knowledge, and the willingness to think deliberately are important determinants to explain who falls for fake news. Many of these studies only rely on self-reports, which suffer from social desirability. We need more objective measures of information processing, such as eye movements, to effectively analyze the reading of news. To provide the research community the opportunity to study human behaviors in relation to news truthfulness, we propose the FakeNewsPerception dataset. FakeNewsPerception consists of eye movements during reading, perceived believability scores, questionnaires including Cognitive Reflection Test (CRT) and News-Find-Me (NFM) perception, and political orientation, collected from 25 participants with 60 news items. Initial analyses of the eye movements reveal that human perception differs when viewing true and fake news.

【 授权许可】

Unknown