2 papers
cs.IR2025
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
Robin Burke, Gediminas Adomavicius, Toine Bogers +7
Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…
cs.CL2024
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection
Pia Pachinger, Janis Goldzycher, Anna Maria Planitzer +3
Model interpretability in toxicity detection greatly profits from token-level annotations. However, currently such annotations are only available in English. We introduce a dataset…