The present investigation has as its main objective to analyze the misogynistic hate narratives that are uttered in social media. For this purpose, a netnographic study was carried out, of the qualitative type, organized in three sequential moments: extraction, exploration/treatment, and content analysis of the data from the platform of the social network Instagram. The data highlighted from 74 profiles aligned with hate speech show, essentially, the presence of 40 publications, largely linked to extreme right-wing cultures with discursive and imagery manifestations of a misogynistic nature, highlighting the use of irony and the ridicule of women. The most offensive dimension of hate speech was measured in the comments of the followers of these publications, present in the form of insult and direct offense, confirming that the digital environment has aggravated hostility and online harassment against women.https://www.degruyter.com/document/doi/10.1515/opis-2022-0161/htmlShare this:FacebookXLike this:Like Loading... Post navigation A Survey on Hate Speech Detection using Natural Language Processing (ACL Anthology) Countering online hate speech. Global overview of the dynamics characterizing hate speech online (UNESCO)