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How Do Partisans Consume News on Social Media? A Comparison of Self-Reports With Digital Trace Measures Among Twitter Users

机译:Partisans如何消耗社交媒体的新闻? Twitter用户中具有数字跟踪措施的自我报告的比较

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There are growing concerns that social media exacerbates the selective exposure of audience members to content that supports their political views. However, despite the hype, the existing literature does not fully address the extent to which social media users selectively consume like-minded news stories, in part due to different methodologies. In an attempt to move toward a common framework, this study examined the partisan selective exposure of a representative sample of Twitter users by combining survey data with digital trace data. Specifically, the study linked survey responses ( n ?=?558) from Twitter users with their media following and exposure to news via their friends. The study found that selectivity bias was present in all types of data, including self-reported media consumption (survey), media following (Twitter), and indirect exposure to media (Twitter). However, the study found some differences between self-reports and digital measures such that the overlaps in media diets between partisan groups were much larger based on the digital trace data than the self-reported data. In addition, the study observed an asymmetric pattern of selective exposure between conservatives and liberals in the digital trace data, but not in the self-reported data. The implications of these findings are discussed with reference to the contemporary news environment, hostile media effects, and normative assumptions of selective exposure.
机译:社交媒体越来越担心,社交媒体加剧了观众成员对支持其政治观点的内容的选择性暴露。然而,尽管存在炒作,现有文献并不能完全解决社交媒体用户选择性地消耗志同道合的新闻故事的程度,部分原因是不同的方法。在尝试迁移到共同的框架,本研究通过将调查数据与数字跟踪数据组合,检查了Twitter用户的代表性样本的Partisan选择性暴露。具体而言,研究将调查响应(n?=?558)从Twitter用户与他们的媒体接下来,并通过他们的朋友曝光。该研究发现,各种类型的数据中存在选择性偏压,包括自我报告的媒体消耗(调查),媒体以下(Twitter),以及间接接触媒体(Twitter)。然而,该研究发现了自我报告和数字措施之间的一些差异,使得Pareisan组之间的媒体饮食中的重叠基于数字跟踪数据比自我报告数据更大。此外,该研究还观察到数字跟踪数据中保守和自由主义者之间的选择性暴露的不对称模式,但不在自我报告的数据中。参考当代新闻环境,敌对媒体效应和选择性暴露的规范假设讨论了这些发现的影响。

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