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,
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STABLEVAL produces stable AI system rankings by modeling latent correctness and annotator confusion rather than majority vote aggregation.
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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.
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STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
STABLEVAL produces stable AI system rankings by modeling latent correctness and annotator confusion rather than majority vote aggregation.