社交媒体上的信息共享和政治两极分化:谎言和党派关系的作用

IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Jason Weismueller, Richard L. Gruner, Paul Harrigan, Kristof Coussement, Shasha Wang
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引用次数: 0

摘要

我们探讨了来自政治精英(即美国国会议员)的错误信息和来自媒体的极端党派信息是否会比准确信息和非极端党派信息产生更多的参与。我们还调查了接触这些信息类型如何导致个人的负面情绪(如愤怒)及其与态度极化的关联。为此,我们分析了经过事实核查的政治精英推文、媒体推文以及对这些推文的回复。这些推文共收到 10 多万条回复,被分享了 200 多万次。我们还进行了两次在线实验。我们的实地研究显示,与准确信息和非极端党派信息相比,错误信息和极端党派信息会带来更高的负面情绪和更大的参与度。我们的数据还显示,虽然意识形态极端的社交媒体用户对极端党派信息的负面情绪高于意识形态中心的用户,但两组用户对错误信息的负面情绪水平并无差异。在线实验表明,与接触准确信息和非极端党派信息相比,接触错误信息和极端党派信息会引发更强烈的负面情绪。这些负面情绪反过来又会导致态度极化。我们的研究在社交媒体信息共享、负面情绪和政治极化方面做出了实践和理论贡献。我们还提供了未来的研究途径以及相关的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Information sharing and political polarisation on social media: The role of falsehood and partisanship

Information sharing and political polarisation on social media: The role of falsehood and partisanship

We explore if misinformation from political elites (i.e., members of the US Congress) and extreme partisan information from media outlets generate greater engagement than accurate information and non-extreme partisan information. We also investigate how exposure to these information types leads to negative emotions (e.g., anger) in individuals and its association with attitude polarisation. To this end, we analysed fact-checked tweets from political elites, tweets from media outlets and replies to those tweets. Together, these tweets received more than 100 000 replies and were shared more than two million times. We also conducted two online experiments. Our field studies reveal that misinformation and extreme partisan information are associated with higher levels of negative emotions and greater engagement than accurate information and non-extreme partisan information. Our data also show that—while negative emotions in response to extreme partisan information are higher among social media users at the ideological extreme than those at the ideological centre—there is no difference in the two groups' level of negative emotions in response to misinformation. The online experiments demonstrate that exposure to misinformation and extreme partisan information elicits stronger negative emotions than exposure to accurate information and non-extreme partisan information. These negative emotions, in turn, contribute to attitude polarisation. Our work makes practical and theoretical contributions concerning social media information sharing, negativity and political polarisation. We also provide future research avenues with associated research questions.

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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
期刊介绍: The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.
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