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.

翻译：本文件介绍了在大型奥地利德文报纸论坛的评论中发现厌食现象的工作,我们介绍了建立6600条评论汇编的情况,其中附有5级厌恶现象的说明,论坛主持人以专家身份参与制定批注准则和评论说明,我们还介绍了该文的二元化和原始标签分类的基于变压器的培训分类模式的结果。