Melnyk, Lidiia2021-12-152021-12-152021-12-13https://riunet.upv.es/handle/10251/178417[EN] The research focuses on hate speech in the comments section of Ukrainian news websites. Restricted to solely COVID-19 related comments, it seeks to analyze the development of hate speech rates throughout the pandemic. Using a semi-automated machine-learning-aided approach, the paper identifies hate speech in the comments and defines its main targets. The research shows that a crisis like the COVID-19 pandemic can strengthen existing negative stereotypes and gives rise to new forms of stigmatization against social and ethnic groups.Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)Hate speechFastTextClusterArtículo10.4995/jclr.2021.15966Abierto2530-9455