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Antisocial Behavior in Online Discussion Communities

机译:在线讨论社区中的反社会行为

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User contributions in the form of posts, comments, and votes are essential to the success of online communities. However, allowing user participation also invites undesirable behavior such as trolling. In this paper, we characterize antisocial behavior in three large online discussion communities by analyzing users who were banned from these communities. We find that such users tend to concentrate their efforts in a small number of threads, are more likely to post irrelevantly, and are more successful at garnering responses from other users. Studying the evolution of these users from the moment they join a community up to when they get banned, we find that not only do they write worse than other users over time, but they also become increasingly less tolerated by the community. Further, we discover that antisocial behavior is exacerbated when community feedback is overly harsh. Our analysis also reveals distinct groups of users with different levels of antisocial behavior that can change over time. We use these insights to identify antisocial users early on, a task of high practical importance to community maintainers.
机译:以职位,评论和投票形式的用户贡献对于在线社区的成功至关重要。但是,允许用户参与也邀请了诸如拖钓的不良行为。在本文中,我们通过分析从这些社区禁止的用户来描述三个大型在线讨论社区的反社会行为。我们发现,这些用户倾向于将他们的努力集中在少数线程中,更有可能发布不可挽回的,并且更为成功地获得其他用户的回应。从他们加入社区的时刻,研究这些用户的演变,当他们被禁止时,我们发现他们不仅仅是其他用户随着时间的推移而差,而且他们也变得越来越不受社区容忍的。此外,我们发现当社区反馈过于严厉时,反社会行为会加剧。我们的分析还揭示了具有不同时间水平的不同级别的用户群体,这些用户可能会随着时间的推移而变化。我们利用这些见解提前识别反社会用户,这是对社区维护者的高实际重视的任务。

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