  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.
