论文标题
社交媒体中的反仇恨言论：一项调查
Counter Hate Speech in Social Media: A Survey
论文作者
论文摘要
随着对社交媒体中少数民族的进攻性语言的高度流行，反仇恨演讲（CHS）的一代被认为是应对这一挑战的自动方式。 CHS应该以第三种声音出现，以教育人们并保持社会[红线大胆]，而无需限制言论自由的原则。在本文中，我们回顾了过去和现在最重要的研究，主要关注方法，收集数据集和统计分析CHS对社交媒体的影响。 CHS的一代基于一个乐观的假设，即任何在社交媒体中干预仇恨言论的尝试都可以在这种情况下发挥积极作用。除此之外，以前的作品忽略了CHS前后评论顺序的调查。但是，如先前的一些作品所示，无法保证积极的影响。据我们所知，尚未尝试调查相关工作，以根据CHS对社交媒体的影响来比较过去的研究。我们通过对相关工作进行全面的审查，并根据不同因素进行分类，迈出了这一方向的第一步，包括影响，方法论，数据源等。
With the high prevalence of offensive language against minorities in social media, counter-hate speeches (CHS) generation is considered an automatic way of tackling this challenge. The CHS is supposed to appear as a third voice to educate people and keep the social [red lines bold] without limiting the principles of freedom of speech. In this paper, we review the most important research in the past and present with a main focus on methodologies, collected datasets and statistical analysis CHS's impact on social media. The CHS generation is based on the optimistic assumption that any attempt to intervene the hate speech in social media can play a positive role in this context. Beyond that, previous works ignored the investigation of the sequence of comments before and after the CHS. However, the positive impact is not guaranteed, as shown in some previous works. To the best of our knowledge, no attempt has been made to survey the related work to compare the past research in terms of CHS's impact on social media. We take the first step in this direction by providing a comprehensive review on related works and categorizing them based on different factors including impact, methodology, data source, etc.
