Statistical Analysis of Counter-Hate Speech on Voice-based Social Media

With the high prevalence of offensive language against minorities on social media, counter-hate speech generation is considered an automatic way to tackle this challenge. The counter-hate speech is supposed to appear as a third voice to educate people and keep the social red lines bold without limiting the freedom of speech principles. The counter-hate speech generation is based on the optimistic assumption that any attempt to intervene the hate speech on social media can play a positive role in this context. Beyond that, previous works were ignored to investigate the sequence of comments before and after the counter-hate speech. To the best of our knowledge, no attempt has been made to measure the counter-hate speech impact on voice-based social media from a statistical point of view. In this paper, we take the first step in this direction by measuring the counter-hate speech impact on the following comments in terms of Google Perspective Scores. Furthermore, our experiments show that counter-hate speech can cause negative impacts, a phenomenon called psychological reactance.