Peer to Peer Hate: Hate Speech Instigators and Their Targets
Peer to Peer Hate: Hate Speech Instigators and Their Targets
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点对点仇恨：仇恨言论煽动者及其目标
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
E. Belding
中科院分区：
文献类型：
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作者：
Mai Elsherief;Shirin Nilizadeh;Dana Nguyen;Giovanni Vigna;E. Belding
虽然社交媒体已经成为个人声音和言论自由的赋权代理人，但它也为反社会行为提供了便利，包括在线骚扰、网络欺凌和仇恨言论。在本文中，我们首次对Twitter上的仇恨言论煽动者和目标用户进行了比较研究。通过一个多步骤的分类过程，我们策划了一个全面的仇恨语音数据集，其中捕获了各种类型的仇恨。我们研究了仇恨煽动者和目标在个人资料自我呈现、活动和在线可见度方面的不同特征。我们发现，仇恨煽动者针对的是更受欢迎和更高知名度的Twitter用户，参与仇恨言论可以带来更高的在线知名度。我们对仇恨煽动者和目标进行了个性分析，发现这两个群体都有不同于普通Twitter人群的古怪个性方面。我们的结果推动了理解在线仇恨言论参与的艺术水平。
While social media has become an empowering agent to individual voices and freedom of expression, it also facilitates anti-social behaviors including online harassment, cyberbullying, and hate speech. In this paper, we present the first comparative study of hate speech instigators and target users on Twitter. Through a multi-step classification process, we curate a comprehensive hate speech dataset capturing various types of hate. We study the distinctive characteristics of hate instigators and targets in terms of their profile self-presentation, activities, and online visibility. We find that hate instigators target more popular and high profile Twitter users, and that participating in hate speech can result in greater online visibility. We conduct a personality analysis of hate instigators and targets and show that both groups have eccentric personality facets that differ from the general Twitter population. Our results advance the state of the art of understanding online hate speech engagement.