Demographic information aids perspective-aware hate speech detection in regimes of low training disagreement and high test disagreement, with a gated residual model proving effective on high-disagreement examples across MHS and POPQUORN datasets.
Mod- eling annotator disagreement with demographic-aware experts and synthetic perspectives.arXiv preprint arXiv:2508.02853,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
STABLEVAL produces stable AI system rankings by modeling latent correctness and annotator confusion rather than majority vote aggregation.
citing papers explorer
-
When Does Demographic Information Help? Data and Modeling Regimes for Perspective-Aware Hate Speech Detection
Demographic information aids perspective-aware hate speech detection in regimes of low training disagreement and high test disagreement, with a gated residual model proving effective on high-disagreement examples across MHS and POPQUORN datasets.