Supporting Data for: Antisemitic and Islamophobic Discourses in Online Far-Right Culture: A Computational Mixed Methods Analysis of 4chan/pol/

Drawing on a corpus of 397,998 posts collected from 4chan/pol/, the study applies computational grounded theory, combining topic modeling, word embeddings, semantic network analysis, and supervised machine learning with qualitative readings.

Conceptually, the analysis is grounded in theories of European racialization and dehumanization, enabling a comparative examination of how Jewish and Muslim figures are constructed as racialized Others in the corpus relative to historically established stereotypes. We find that antisemitic and Islamophobic discourses converge around logics of dehumanization and imagined social threats, while differing in their specific articulations.