论文标题
单词是灵魂的窗口：基于语言的伪造新闻检测的用户表示
Words are the Window to the Soul: Language-based User Representations for Fake News Detection
论文作者
论文摘要
个人的认知和社会特征反映在语言使用中。此外，容易在线传播假新闻的个人经常有共同的特征。在这些想法的基础上，我们介绍了一种模型，该模型仅根据其产生的语言来创建个人在社交媒体上的表示，并使用它们来检测假新闻。我们表明，基于语言的用户表示对此任务有益。我们还对虚假新闻播放器的语言进行了扩展分析，表明其主要特征主要是独立的，并且在两个英语数据集中是一致的。最后，我们利用社交图中语言使用与连接之间的关系，以评估数据中回波室效应的存在。
Cognitive and social traits of individuals are reflected in language use. Moreover, individuals who are prone to spread fake news online often share common traits. Building on these ideas, we introduce a model that creates representations of individuals on social media based only on the language they produce, and use them to detect fake news. We show that language-based user representations are beneficial for this task. We also present an extended analysis of the language of fake news spreaders, showing that its main features are mostly domain independent and consistent across two English datasets. Finally, we exploit the relation between language use and connections in the social graph to assess the presence of the Echo Chamber effect in our data.
