论文标题
Twitter用户对有毒回复的行为反应
Twitter Users' Behavioral Response to Toxic Replies
论文作者
论文摘要
在线有毒攻击(例如骚扰,拖钓和仇恨言论)与离线暴力的增加和对受害者的心理影响负面影响有关。在本文中,我们研究了毒性对用户在线行为的影响。我们收集了79.8k Twitter对话的样本。然后,通过一项纵向研究,持续了九周,我们跟踪并比较了毒性受害者的作者的行为反应,而不是那些没有毒性的受害者。我们发现毒性受害者表现出以下行为反应的结合:避免,报仇,对策和谈判。我们进行了统计测试,以了解有毒答复对用户行为的贡献的重要性,同时考虑了混杂因素,例如对话的结构和用户帐户的可见性,可识别性和活动水平。有趣的是,我们发现,与其他随机作者相比,受害者更有可能进行对话,以有毒的方式回答并取消毒性刺激者。即使毒性针对其他参与者,根作者也更有可能以有毒的方式进行对话并回答。但是,验证帐户的受害者不太可能参与对话或通过发布有毒评论来做出回应。此外,在对话中更有可能将答复删除,而对其他用户的有毒嵌套答复和有毒的答复则更大。我们的结果可以帮助进一步的研究开发更有效的检测和干预方法,以减少社交媒体上毒性的负面影响。
Online toxic attacks, such as harassment, trolling, and hate speech have been linked to an increase in offline violence and negative psychological effects on victims. In this paper, we studied the impact of toxicity on users' online behavior. We collected a sample of 79.8k Twitter conversations. Then, through a longitudinal study, for nine weeks, we tracked and compared the behavioral reactions of authors, who were toxicity victims, with those who were not. We found that toxicity victims show a combination of the following behavioral reactions: avoidance, revenge, countermeasures, and negotiation. We performed statistical tests to understand the significance of the contribution of toxic replies toward user behaviors while considering confounding factors, such as the structure of conversations and the user accounts' visibility, identifiability, and activity level. Interestingly, we found that compared to other random authors, victims are more likely to engage in conversations, reply in a toxic way, and unfollow toxicity instigators. Even if the toxicity is directed at other participants, the root authors are more likely to engage in the conversations and reply in a toxic way. However, victims who have verified accounts are less likely to participate in conversations or respond by posting toxic comments. In addition, replies are more likely to be removed in conversations with a larger percentage of toxic nested replies and toxic replies directed at other users. Our results can assist further studies in developing more effective detection and intervention methods for reducing the negative consequences of toxicity on social media.