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Reviews Left and Right: The Link Between Reviewers' Political Ideology and Online Review Language

机译:左右评论:审阅者政治思想与在线评论语言之间的联系

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Online reviews, i.e., evaluations of products and services posted on websites, are ubiquitous. Prior research observed substantial variance in the language of such online reviews and linked it to downstream consequences like perceived helpfulness. However, the understanding of why the language of reviews varies is limited. This is problematic because it might have vital implications for the design of IT systems and user interactions. To improve the understanding of online review language, the paper proposes that consumers' personality, as reflected in their political ideology, is a predictor of such online review language. Specifically, it is hypothesized that reviewers' political ideology as measured by degree of conservatism on a liberal-conservative spectrum is negatively related to review depth (the number of words and the number of arguments in a review), cognitively complex language in reviews, diversity of arguments, and positive valence in language. Support for these hypotheses is obtained through the analysis of a unique dataset that links a sample of online reviews to reviewers' political ideology as inferred from their online news consumption recorded in clickstream data.
机译:在线评论,即网站上发布的产品和服务的评估,是普遍存在的。现有研究观察了此类在线评论的语言的大量方差,并将其与视觉乐于助人的下游后果联系起来。但是,了解评论语言的原因有限。这是有问题的,因为它可能对IT系统和用户交互的设计具有重要影响。为了提高对在线审查语言的理解,本文提出了消费者的个性,正如他们的政治意识形态所反映的那样,是这种在线评论语言的预测因素。具体而言,假设审核人员的政治意识形态通过对自由保守谱的保守主义程度来衡量的,与审查深度(审查中的争论数量和争论数量)负相关,在评论中具有认知语言,多样性争论和语言的积极价值。通过分析将在线评论示例链接到审阅者的政治意识形态的唯一数据集来获得对这些假设的支持,从而从他们在线新闻消费中记录在单击日数据中的在线消息。

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