Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community

Author:

Flores-Saviaga Claudia,Keegan Brian,Savage Saiph

Abstract

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.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Social Media Trolling: An fsQCA Approach;Transfer, Diffusion and Adoption of Next-Generation Digital Technologies;2023-12-13

2. A review of the literature on the metaverse: definition, technologies, and user behaviors;Internet Research;2023-09-12

3. Trolling asymmetry toward Republicans and Democrats and the shift from foreign to domestic trolling;Telematics and Informatics;2023-08

4. Understanding Online Migration Decisions Following the Banning of Radical Communities;Proceedings of the 15th ACM Web Science Conference 2023;2023-04-30

5. One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donald;Proceedings of the 15th ACM Web Science Conference 2023;2023-04-30

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