Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community
复制标题
动员特朗普列车：理解政治恶搞社区中的集体行动
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Saiph Savage
中科院分区：
文献类型：
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作者：
Claudia Flores;Brian Keegan;Saiph Savage
政治巨魔在网上发起不和，不仅是为了摇篮曲(笑)，也是出于意识形态的原因，比如提拔他们想要的政治候选人。政治巨魔组织最近成为聚光灯下的焦点，因为他们被认为是帮助唐纳德·特朗普赢得2016年美国总统大选的核心，这涉及到困难的大规模动员。政治巨魔面临着独特的挑战，因为他们必须建立自己的社区，同时扰乱其他社区。然而，关于政治巨魔如何动员足够的参与突然成为其他人的问题，人们知之甚少。我们对最受欢迎和最具颠覆性的政治巨魔社区之一Subreddit/r/The Donald(T_D)的1600多万条评论进行了定量的纵向分析。我们使用T_D作为一个镜头来理解这些偏离空间中的参与和集体行动。具体地说，我们首先研究最活跃的参与者的特征，以揭示什么可能推动他们持续参与。接下来，我们调查这些活跃的个人如何动员他们的社区采取行动。通过我们的分析，我们发现，最活跃的人使用了不同的话语策略来动员参与，并部署了机器人等技术工具来创建共享身份和维持参与。最后，我们为民间媒体的设计师提供了数据支持的设计启示。
Political trolls initiate online discord not only for the lulz (laughs), but also for ideological reasons, such as promoting their desired political candidates. Political troll groups recently gained spotlight because they were considered central in helping Donald Trump win the 2016 US presidential election, which involved difficult mass mobilizations. Political trolls face unique challenges as they must build their own communities while simultaneously disrupting others. However, little is known about how political trolls mobilize sufficient participation to suddenly become problems for others. We performed a quantitative longitudinal analysis of more than 16 million comments from one of the most popular and disruptive political trolling communities, the subreddit /r/The Donald (T_D). We use T_D as a lens to understand participation and collective action within these deviant spaces. In specific, we first study the characteristics of the most active participants to uncover what might drive their sustained participation. Next, we investigate how these active individuals mobilize their community to action. Through our analysis we uncover that the most active employed distinct discursive strategies to mobilize participation, and deployed technical tools like bots to create a shared identity and sustain engagement. We conclude by providing data-backed design implications for designers of civic media.