Research shows that computational algorithms can classify online reviews as authentic or fake based on linguistic nuances. This study examines whether Internet users can process reviews in an algorithmic manner to discern authenticity. It also considers the role of epistemic belief—the individual trait that inherently determines one’s ability to separate fact from falsehood. In an online survey, 380 participants were each exposed to three hotel reviews—some authentic, others fake. Perceived specificity was positively related to perceived review authenticity, whereas perceived exaggeration showed a negative association. Epistemic belief with respect to justification for knowing significantly moderated both the relationships.

研究表明，基于语言的细微差别，计算算法可以将在线评论分为真假。这项研究检查了互联网用户是否可以以算法方式处理评论以辨别真实性。它还考虑了认知信念的作用-个体特征固有地决定着人们将事实与虚假性分开的能力。在一项在线调查中，有380位参与者各自获得了3条酒店评论，其中有一部分是真实的，有些是假的。感知的特异性与感知的评论真实性正相关，而感知的夸张则显示负相关。认识论的认识论信念显着地缓和了两种关系。