---
res:
  bibo_abstract:
  - Abuse and hate are penetrating social media and many comment sections of news
    media companies. These platform providers invest considerable efforts to mod-
    erate user-generated contributions to prevent losing readers who get appalled
    by inappropriate texts. This is further enforced by legislative actions, which
    make non-clearance of these comments a punishable action. While (semi-)automated
    solutions using Natural Language Processing and advanced Machine Learning techniques
    are getting increasingly sophisticated, the domain of abusive language detection
    still struggles as large non-English and well-curated datasets are scarce or not
    publicly available. With this work, we publish and analyse the largest annotated
    German abusive language comment datasets to date. In contrast to existing datasets,
    we achieve a high labelling standard by conducting a thorough crowd-based an-
    notation study that complements professional moderators’ decisions, which are
    also included in the dataset. We compare and cross-evaluate the performance of
    baseline algorithms and state-of-the-art transformer-based language models, which
    are fine-tuned on our datasets and an existing alternative, showing the usefulness
    for the community.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Dennis
      foaf_name: Assenmacher, Dennis
      foaf_surname: Assenmacher
  - foaf_Person:
      foaf_givenName: Marco
      foaf_name: Niemann, Marco
      foaf_surname: Niemann
  - foaf_Person:
      foaf_givenName: Kilian
      foaf_name: Müller, Kilian
      foaf_surname: Müller
  - foaf_Person:
      foaf_givenName: Moritz
      foaf_name: Seiler, Moritz
      foaf_surname: Seiler
      foaf_workInfoHomepage: http://www.librecat.org/personId=105520
  - foaf_Person:
      foaf_givenName: Dennis M.
      foaf_name: Riehle, Dennis M.
      foaf_surname: Riehle
  - foaf_Person:
      foaf_givenName: Heike
      foaf_name: Trautmann, Heike
      foaf_surname: Trautmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=100740
    orcid: 0000-0002-9788-8282
  dct_date: 2021^xs_gYear
  dct_language: eng
  dct_title: 'RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment
    Datasets@'
...