Trolls are individual internet users with anti-social remarks and behaviors who can disrupt on-topic discussions and wreak havoc on the various functions of online communities. This study investigated the aftermath of trolling on community dynamics by examining the likelihood and conditions in which individual users react toward trolls. Using a longitudinal behavioral dataset collected from popular video communities on YouTube, the study found that the valence of the trolling message, characteristics of the individual member, as well as the patterns of past engagement with trolls from other community members all played a role in predicting how an individual would react to trolls. In other words, well-connected users situated in densely connected communities with a prior pattern of engaging trolls are more likely to respond to trolls, especially when the trolling messages convey negative sentiment.

巨魔是具有反社会言论和行为的互联网个人用户，他们可能会破坏主题讨论并严重破坏在线社区的各种功能。这项研究通过检查个人用户对巨魔做出反应的可能性和条件，调查了巨魔对社区动态的后果。使用从YouTube上的热门视频社区收集的纵向行为数据集，该研究发现，拖钓消息的价格，单个成员的特征以及过去与其他社区成员进行的拖钓活动的互动方式均在预测中发挥了作用个人对巨魔的反应。换句话说，处于紧密联系的社区中，拥有良好联系且习惯使用巨魔的人际关系良好的用户更有可能对巨魔做出回应，