ORCID: https://orcid.org/0009-0002-6506-6230; Udupa, Sahana
ORCID: https://orcid.org/0000-0003-3647-9570 und Wisiorek, Axel
ORCID: https://orcid.org/0000-0002-6058-0460
(2024):
Online anti-immigrant discourse in Germany: ethnographically backed analysis of user comments.
In: Frontiers in Communication, Vol. 9, 1355025
[PDF, 1MB]
Abstract
This article investigates discourse- and language-specific features of online anti-immigrant extreme speech in Germany. We analyze a context rich dataset collected and annotated through a collaborative effort involving fact-checkers, ethnographers and natural language processing (NLP) researchers. Using a bottom-up annotation scheme, we capture the nuances of the discourse and develop a typology of lexical innovations. The analysis combines thematic and critical discourse analysis with a linguistic perspective, revealing that direct forms of racism intertwine with argumentative forms of antagonism and playful word games within anti-immigrant discourses, in ways that center around narratives of victimhood and perceived threats from migrants. We further show how the specific conditions in Germany, including strict legal regulations of speech, have shaped the emergence of a non-standard language variety in and through anti-immigrant discourse, which helps the discourse community maintain group identity. The ethnographically backed analysis provides a granular understanding of the phenomenon of online extreme speech in the German context, contributing to the broader field of discourse studies and offering insights into the varieties within anti-immigrant discourse.
| Item Type: | Journal article |
|---|---|
| EU Funded Grant Agreement Number: | 957442 |
| EU Projects: | Horizon 2020 > ERC Grants > ERC Proof of Concept Grant > ERC Grant 957442: AI4Dignity - Collaborative AI Counters Hate |
| Faculties: | Cultural Studies > Department of Ancient and Modern Cultures > Ethnology Languages and Literatures > Department 2 > Computational Linguistics |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science 300 Social sciences > 300 Social sciences, sociology and anthropology 400 Language > 410 Linguistics |
| URN: | urn:nbn:de:bvb:19-epub-129645-0 |
| ISSN: | 2297-900X |
| Language: | English |
| Item ID: | 129645 |
| Date Deposited: | 26. Nov 2025 09:11 |
| Last Modified: | 26. Nov 2025 09:11 |
