Detecting offensive speech and analysing migration-related discourse

Senja Pollak, a research colleague from our partner institution Jožef Stefan Institute on the project “Hate speech in contemporary conceptualizations of nationalism, racism, gender and migration”, gave an invited talk “Detecting offensive speech and analysing migration-related discourse” in the scope of the 1^st International Workshop on Artificial Intelligence applied to Extremist Narrative Analysis in the Online Discourse that took place on 26 March 2024 in France. She presented selected natural language processing methods for detecting offensive comments, with a focus on cross-lingual methods, active learning, and interpretability of results. She covered a range of computational social science methods for analysing migration-related discourse on Twitter, parliamentary data, and news media, including the methods for analysing the differences in discourse of left- and right-wing politicians and in media coverage of Syrian and Ukrainian conflict-related migration periods. Special focus was put on analysing the dehumanisation perspective.