Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates
Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates
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DOI：
10.1145/3313831.3376548
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发表时间：
2020-04
期刊：
影响因子：
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通讯作者：
Yiqing Hua;Mor Naaman;Thomas Ristenpart
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文献类型：
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作者：
Yiqing Hua;Mor Naaman;Thomas Ristenpart
社交媒体为政治人物提供了一个关键的交流平台，但也使他们容易成为骚扰的目标。在本文中，我们使用混合方法技术描述了在推特上与政治人物进行对抗性互动的用户。该分析基于一个数据集，其中包含在2018年中期选举前两个月内40万用户对756名美国众议院候选人的120万条回复。我们表明，在活跃度适中的用户中，对抗性活动与社交图谱中的中心性降低以及对反对党候选人的关注度增加有关。与活跃度相似的用户相比，高度对抗性的用户往往较少与自己政党的候选人进行支持性互动，并且在其用户资料中表达负面情绪。我们的研究结果可以为平台管理机制的设计提供信息，以支持政治人物应对网络骚扰。
Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using mixed-method techniques. The analysis is based on a dataset of 400 thousand users' 1.2 million replies to 756 candidates for the U.S. House of Representatives in the two months leading up to the 2018 midterm elections. We show that among moderately active users, adversarial activity is associated with decreased centrality in the social graph and increased attention to candidates from the opposing party. When compared to users who are similarly active, highly adversarial users tend to engage in fewer supportive interactions with their own party's candidates and express negativity in their user profiles. Our results can inform the design of platform moderation mechanisms to support political figures countering online harassment.