Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.

Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
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引用次数: 398

Abstract

In online communities, antisocial behavior such as trolling disrupts constructive discussion. While prior work suggests that trolling behavior is confined to a vocal and antisocial minority, we demonstrate that ordinary people can engage in such behavior as well. We propose two primary trigger mechanisms: the individual's mood, and the surrounding context of a discussion (e.g., exposure to prior trolling behavior). Through an experiment simulating an online discussion, we find that both negative mood and seeing troll posts by others significantly increases the probability of a user trolling, and together double this probability. To support and extend these results, we study how these same mechanisms play out in the wild via a data-driven, longitudinal analysis of a large online news discussion community. This analysis reveals temporal mood effects, and explores long range patterns of repeated exposure to trolling. A predictive model of trolling behavior shows that mood and discussion context together can explain trolling behavior better than an individual's history of trolling. These results combine to suggest that ordinary people can, under the right circumstances, behave like trolls.

Abstract Image

Abstract Image

任何人都可以成为喷子:网络讨论中喷子行为的原因。
在网络社区中,像网络喷子这样的反社会行为会破坏建设性的讨论。虽然之前的研究表明,网络喷子行为仅限于直言不讳和反社会的少数人,但我们证明,普通人也可以参与这种行为。我们提出了两种主要的触发机制:个人的情绪和讨论的周围环境(例如,暴露于先前的钓鱼行为)。通过一个模拟在线讨论的实验,我们发现负面情绪和看到别人的喷子帖子都显著增加了用户喷子的概率,并共同使这个概率翻倍。为了支持和扩展这些结果,我们通过对一个大型在线新闻讨论社区进行数据驱动的纵向分析,研究了这些相同的机制如何在野外发挥作用。这一分析揭示了时间情绪的影响,并探索了反复接触网络喷子的长期模式。一个网络喷子行为的预测模型表明,情绪和讨论背景一起可以比个人的网络喷子历史更好地解释网络喷子行为。这些结果综合起来表明,在适当的情况下,普通人可以表现得像喷子一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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