Análise de discursos em notícias sobre homofobia, racismo e sexismo em comentários de portais brasileiros de notícias

RESUMO Posts with defamatory content or hate speech are constantly found on social media. The results for readers are numerous, not restricted only to the psychological impact, but also to the growth of this social phenomenon. With the General Law on the Protection of Personal Data and the Marco Civil da Internet, service providers became responsible for the content in their platforms. Considering the importance of this issue, this paper aims to analyze the content published (news and comments) on the G1 News Portal with techniques based on data visualization and Natural Language Processing, such as sentiment analysis and topic modeling. The results show that even with most of the comments being neutral or negative and classified or not as hate speech, the majority of them were accepted by the users.