RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets

Assenmacher Dennis, Niemann Marco, Müller Kilian, Seiler Moritz V., Riehle Dennis M., Trautmann Heike


Zusammenfassung

Abuse and hate are penetrating social media and many comment sections of news media companies. These platform providers invest considerable efforts to moderate 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 annotation 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.

Schlüsselwörter
Abusive Language Detection, Newspaper, Comment Moderation, Crowd Study, NLP



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2021

Konferenz
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)

Konferenzort
Virtual Event

Buchtitel
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)

Herausgeber
Vanschoren, J.; Yeung, S.

Erste Seite
1

Letzte Seite
14

Verlag
Selbstverlag / Eigenverlag

Ort
online

Sprache
Englisch

Gesamter Text