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Misinformation in the Chinese Weibo

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Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis (HCII 2020)

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Abstract

Social media users are increasingly influenced by misinformation and disinformation as the techniques offer affordances to rapidly spread information to large groups of people. Most of the existing studies about misinformation and disinformation are in the context of Western cultures, the influence of misinformation in Chinese context is underexplored. To fill this research gap, this study analyzed 26,138 Weibo posts that are marked as containing misinformation. We performed a frequency analysis of these posts’ metadata and the top 50 frequent nouns, verbs, and adjectives in the dataset, and examined the sentiment in the content. Our results show that many posts that contain misinformation tactically target topics that Chinese people are already concerned about. The persuasion literature implies that these characteristics increase the persuasive power of the posts. With the forward-asking verbs are frequently used in the posts, one behavior that the receivers are persuaded to perform is to share these posts with the others, which can contribute to the virality of the misinformation. Another alarming finding is that a large proportion of our collected posts asked the receivers for help and the posts showed gratitude to acknowledge the forwarding and helping behavior. Based on the trust literature and the notion that trust as a social reality, we discuss the potentially severe negative impact these posts can impose on the society as they undermine Weibo users’ trustfulness to others and to the social media platform.

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Authors and Affiliations

  1. Syracuse University, Syracuse, NY, 13210, USA

    Lu Xiao

  2. Wuhan University, Wuhan, 430071, Hubei, China

    Sijing Chen

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  1. Lu Xiao
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  2. Sijing Chen
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Correspondence to Lu Xiao .

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Editors and Affiliations

  1. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Xiao, L., Chen, S. (2020). Misinformation in the Chinese Weibo. In: Meiselwitz, G. (eds) Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. HCII 2020. Lecture Notes in Computer Science(), vol 12194. Springer, Cham. https://doi.org/10.1007/978-3-030-49570-1_28

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  • DOI: https://doi.org/10.1007/978-3-030-49570-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49569-5

  • Online ISBN: 978-3-030-49570-1

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