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.
@article{arxiv.2203.03584,
title = {Counter Hate Speech in Social Media: A Survey},
author = {Dana Alsagheer and Hadi Mansourifar and Weidong Shi},
journal= {arXiv preprint arXiv:2203.03584},
year = {2022}
}
Comments
arXiv admin note: text overlap with arXiv:1909.04251, arXiv:2009.08392, arXiv:2006.01974, arXiv:2004.04216, arXiv:1812.02712 by other authors