Hate speech compounds in the German immigration discourse on Twitter

This paper examines the use of derogatory prefixes and productive compounding as linguistic vehicles of hate speech in German Twitter, with a special focus on ethnic and religious minorities, on the background of the European immigration crisis. The linguistic mechanisms discussed focus on both morphology and semantics and include slur expansion, stereotype-based pseudo-slurs, fusion words, narrative encoding and the use of metaphor, among others. Specifically, we identify and document five main stereotypes for recent Muslim immigrants, as well as the main derogatory narration metaphors used in the German immigration discourse (e.g. disease, disaster, war). We discuss and classify over 500 individual lexical examples and tweet fragments, showing how pejorative word elements (e.g. animal tropes) are amalgamated with target group connotaters to achieve various desired effects, both denotative and connotative, as well as humour-based techniques such as puns, irony and understatement. The work is based on an unabridged, grammatically and semantically annotated 2 billion word Twitter corpus, harvested between 2017 and 2019.

Authors

Publication Details

Journal
Journal of Speech Sciences
Published
2025-10-13
DOI
https://doi.org/10.20396/joss.v14i00.20387
Citations
1
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Hate speech compounds in the German immigration discourse on Twitter

Eckhard Bick
1 citations
Journal of Speech Sciences
Hate Speech and Cyberbullying Detection
2.48
article

Hate speech compounds in the German immigration discourse on Twitter

Eckhard Bick
article en
1 citations

Abstract

This paper examines the use of derogatory prefixes and productive compounding as linguistic vehicles of hate speech in German Twitter, with a special focus on ethnic and religious minorities, on the background of the European immigration crisis. The linguistic mechanisms discussed focus on both morphology and semantics and include slur expansion, stereotype-based pseudo-slurs, fusion words, narrative encoding and the use of metaphor, among others. Specifically, we identify and document five main stereotypes for recent Muslim immigrants, as well as the main derogatory narration metaphors used in the German immigration discourse (e.g. disease, disaster, war). We discuss and classify over 500 individual lexical examples and tweet fragments, showing how pejorative word elements (e.g. animal tropes) are amalgamated with target group connotaters to achieve various desired effects, both denotative and connotative, as well as humour-based techniques such as puns, irony and understatement. The work is based on an unabridged, grammatically and semantically annotated 2 billion word Twitter corpus, harvested between 2017 and 2019.

Journal of Speech SciencesVol. 14
Openalex Percentile: Top 8%
Hate Speech and Cyberbullying Detection
2.48
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