Misogyny classification of German newspaper forum comments
This addresses the issue of online hate speech for German-language platforms, but it is incremental as it applies existing methods to a new dataset.
The paper tackles the problem of detecting misogyny in German newspaper forum comments by creating a corpus of 6600 annotated comments and training transformer-based models, achieving classification results for both binarized and original labels.
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.