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

Abstract

Posts with defamatory content or hate speech are constantly foundon social media. The results for readers are numerous, not restrictedonly to the psychological impact, but also to the growth of thissocial phenomenon. With the General Law on the Protection ofPersonal Data and the Marco Civil da Internet, service providersbecame responsible for the content in their platforms. Consideringthe importance of this issue, this paper aims to analyze the contentpublished (news and comments) on the G1 News Portal with techniquesbased on data visualization and Natural Language Processing,such as sentiment analysis and topic modeling. The results showthat even with most of the comments being neutral or negative andclassified or not as hate speech, the majority of them were acceptedby the users.

Análise Comparativa de Plataformas de Mídias Sociais Turísticas: um Estudo de Caso de Booking e TripAdvisor para o Município de Santarém, Pará

“…O framework adotado neste estudo foi inspirado em [25], que realizou um estudo em comentários de notícias sobre COVID-19. O fluxo de análise é apresentado na Figura 1.…”