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Verified signatureModel Details Model Name: distilbert_fearspeech_classifier Model Version: 1.0 Paper: "You are doomed!" Crisis-specific and Dynamic Use of Fear Speech in Protest and Extremist Radical Social Movements Authors: Simon Greipl, Julian Hohner, Heidi Schulze, Patrick Schwabl, Diana Rieger Institution: Ludwig-Maximilians-University of Munich, Germany Contact: simon.greipl@ifkw.lmu.de Date: 2024-04-26 Overview This model is a DistilBERT-based classifier trained to detect fear speech (FS) in German language Telegram posts. The classifier was developed to study the prevalence and dynamics of FS in the communication of radical and extremist actors on Telegram. Intended Use Primary Use Case: Detection and analysis of fear speech in social media posts, particularly those from radical and extremist groups. Primary Users: Researchers in social media analysis, hate speech detection, and radicalization studies. Languages: German Domains: Social media, Telegram, radical and extremist communic…8179fc0 -
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