https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0278511“While much progress has been made in analyzing online hate speech, no study to date has classified multiple types of hate speech across both mainstream and fringe platforms. We conduct a supervised machine learning analysis of 7 types of online hate speech on 6 interconnected online platforms. We find that offline trigger events, such as protests and elections, are often followed by increases in types of online hate speech that bear seemingly little connection to the underlying event.”Share this:FacebookXLike this:Like Loading... Post navigation Hate Speech: Turning the tide (United Nations) Hate Speech. Linguistic Perspectives (De Gruyter Mouton)