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.

本文综述了反对仇恨言论生成的最重要研究，重点关注方法学、数据集以及统计分析对社交媒体的影响。