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We gratefully acknowledge support from (e) Cornell University the Simons Foundation and member institutions. All fields Search d rXiv > cs > Help I Advanced Search Computer Science > Computation and Language Computer Science Computation and guag Download: [Submitted on 15 Sep 2021 last revised 24 Nov 2021 (this version, PDF Introducing an Abusive Language Classification Framework for Telegram to Investigate the Other formats German Hater Community Maximilian Wich, Adrian Gorniak, Tobias Eder, Daniel Bartmann, Burak Enes Cakici, Georg Groh Since traditional social media platforms continue to ban actors spreading hate speech or other forms of abusive languages (a process known as deplatforming), these actors migrate to alternative platforms that do not moderate users content. One popular platform relevant for the German hater community is Telegram for which limited research efforts have been made so far. This study aims to develop a broad framework comprising (i) an abusive language classification model for German Telegram messages and (ii) a classification model for the hatefulness of Telegram channels. For the first part, we use existing abusive language datasets containing posts from References Citations other platforms to develop our classification models. For the channel classification model, we develop a method that combines channel-specific content information NASA ADS collected from a topic model with a social graph to predict the hatefulness of channels. Furthermore, we complement these two approaches for hate speech detection with insightful results on the evolution of the hater community on Telegram in Germany. We also propose methods for conducting scalable network analyses for social media platforms to the hate speech research community. As an additional output of this study, we provide an annotated abusive language dataset containing 1,149 annotated OBLP CS Bibliography Telegram messages. Subjects: Computation and Language (cs.CL) Cite as 2109 07346 [es.CL] (or arXiv 2109 07346v2 [cs.CL] for this version) heps Submission history From: Tobias Eder [view email] Wed, 15 Sep 2021 UTC (387 KB) Wed, 24 Nov 2021 UTC (483 KB) Other formats (license) Current browse context: cs.CL new I recent I 2109 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar DBLP – CS Bibliography listing II bibtex Georg Groh Export Bibtex Citation Bookmark