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Same Sentence, Different Construct: Identity-Swapped Rationales Reveal Measurement Non-Invariance in LLM Hate Speech Classifiers

Paper recorded by Signals 4 on 2026-11-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CL · 自然语言处理 · first seen 2026-11-03

Abstract

Large language models are increasingly used as measurement instruments for socially consequential constructs such as hate speech, and are typically validated by their aggregate agreement with human labels. A valid instrument must also apply the same construct to every group it measures. We test this requirement using 421 \hc{} templates that are instantiated identically for seven protected groups,

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#31 most recent of 628 cs.CL papers we have recorded · ↑ newer: Ranked but Not Stopped: Detecting Prompt-Injection Hijacks from Typed · ↓ older: Chain on Demand: Deferred Evidence Organization for Long-Term Conversa
Cite this page: Same Sentence, Different Construct: Identity-Swapped Rationales Reveal Measurement Non-Invariance in LLM Hate Speech Classifiers: the #31 most recent of 628 cs.CL papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/same-sentence-different-construct-identity-swapped-rationales-reveal-measurement.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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