Misogyny classification of German newspaper forum comments
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Abstract (arXiv)
This paper presents work on detecting misogyny in the comments of a large Austrian German language newspaper forum. We describe the creation of a corpus of 6600 comments which were annotated with 5 levels of misogyny. The forum moderators were involved as experts in the creation of the annotation guidelines and the annotation of the comments. We also describe the results of training transformer-based classification models for both binarized and original label classification of that corpus.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 19 references that are in the map. First posted on arXiv 30 Nov 2022.
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References · 7
- 2017Attention Is All You Needcited by 60,361
- 2020German's Next Language Modelcited by 144
- 2019Rank consistent ordinal regression for neural networks with application to age estimationcited by 133
- 2020Developing a Multilingual Annotated Corpus of Misogyny and Aggressioncited by 33
- 2019Multi-label Categorization of Accounts of Sexism using a Neural Frameworkcited by 19
- 2020Automatic Detection of Sexist Statements Commonly Used at the Workplacecited by 10
- 2019When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLPcited by 2
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