Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities

Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities
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在线阴谋讨论社区中社会想象的特征和不和谐的自我披露

DOI:
10.1145/3479855
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发表时间:
2021
影响因子:
--
通讯作者:
Mitra, Tanushree
Mitra, Tanushree
中科院分区:
--
文献类型:
--
作者:
Phadke, Shruti;Samory, Mattia;Mitra, Tanushree

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在线讨论平台提供了一个论坛来加强和传播对错误阴谋论的信仰。然而,它们也为阴谋论者提供了表达他们的怀疑和认知失调经历的途径。这种不和谐的表达可能有助于揭示谁放弃了错误的信念以及在什么情况下放弃。本文描述了关于 QAnon 的不和谐的自我披露——一种由神秘领袖“Q”发起并由其追随者“anons”在阴谋子版块中普及的阴谋论。为了理解阴谋社区中的不和谐和怀疑意味着什么,我们首先描述他们的社会想象——对人们如何集体想象他们的社会存在的广泛理解。重点关注来自两个图像板 4chan 和 8chan 的 2K 帖子,以及来自 12 个 QAnon 子版块的 120 万条评论和帖子,我们采用混合方法来揭示代表 QAnon 社区的运动、期望、实践、英雄和敌人的符号语言。我们使用这些社会想象来创建一个计算框架,用于区分 QAnon 的一般讨论中的信念和不和谐,并研究 120 万条评论中出现的不和谐评论。此外,通过分析 QAnon 阴谋子 Reddits 的用户参与度,我们发现不和谐的自我披露与用户贡献的显着减少相关,并最终与他们离开社区相关。我们的工作提供了一个系统框架,用于揭示与 QAnon 社交想象相关的维度和编码语言,并且可以作为研究跨不同平台的其他阴谋论的工具箱。我们的工作为设计基于不和谐的干预措施提供了见解,这些干预措施可能会阻止阴谋分子参与在线阴谋讨论社区。
Online discussion platforms provide a forum to strengthen and propagate belief in misinformed conspiracy theories. Yet, they also offer avenues for conspiracy theorists to express their doubts and experiences of cognitive dissonance. Such expressions of dissonance may shed light on who abandons misguided beliefs and under what circumstances. This paper characterizes self-disclosures of dissonance about QAnon-a conspiracy theory initiated by a mysterious leader "Q" and popularized by their followers ?anons"-in conspiratorial subreddits. To understand what dissonance and disbelief mean within conspiracy communities, we first characterize their social imaginaries-a broad understanding of how people collectively imagine their social existence. Focusing on 2K posts from two image boards, 4chan and 8chan, and 1.2 M comments and posts from 12 subreddits dedicated to QAnon, we adopt a mixed-methods approach to uncover the symbolic language representing the movement,expectations,practices,heroes and foes of the QAnon community. We use these social imaginaries to create a computational framework for distinguishing belief and dissonance from general discussion about QAnon, surfacing in the 1.2M comments. We investigate the dissonant comments to characterize the dissonance expressed along QAnon social imaginaries. Further, analyzing user engagement with QAnon conspiracy subreddits, we find that self-disclosures of dissonance correlate with a significant decrease in user contributions and ultimately with their departure from the community. Our work offers a systematic framework for uncovering the dimensions and coded language related to QAnon social imaginaries and can serve as a toolbox for studying other conspiracy theories across different platforms. We also contribute a computational framework for identifying dissonance self-disclosures and measuring the changes in user engagement surrounding dissonance. Our work provide insights into designing dissonance based interventions that can potentially dissuade conspiracists from engaging in online conspiracy discussion communities.
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