FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories

FakeNewsPerception: An Eye Movement Dataset on the Perceived Believability of News Stories 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, and that we need more objective measures of information processing such as eye movements during reading news. To provide the research community the opportunity to study human behaviors on the news truthness, 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 revealed that human perception differs when viewing true and fake news.FakeNewsPerception数据集：一款面向新闻故事感知可信度的眼动数据集 互联网的广泛普及使得人们能够便捷获取新闻、社交媒体等各类信息源。互联网上传播的内容无法得到全面的事实核查，这使得错误信息能够快速且轻易地扩散开来。近年来，心理学家与经济学家通过大量实验证实，先验信念、知识储备以及审慎思考的意愿，是解释个体为何会轻信假新闻的重要决定因素。但此类研究大多仅依赖自我报告形式，而自我报告存在社会期许偏差的缺陷，因此我们亟需更客观的信息处理测量手段，例如阅读新闻时的眼动数据。为向科研界提供研究人类针对新闻真实性相关行为的契机，本研究推出FakeNewsPerception数据集。该数据集包含来自25名参与者、针对60条新闻采集的阅读眼动数据、感知可信度评分，以及涵盖认知反应测试（Cognitive Reflection Test，CRT）与News-Find-Me（NFM）感知问卷的调查问卷数据与政治倾向信息。对眼动数据的初步分析显示，人们在浏览真实与虚假新闻时的感知存在差异。