pith:VQMUK4UI
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
Disinformation detectors show reduced performance on non-Standard American English dialects.
arxiv:2604.05318 v2 · 2026-04-07 · cs.CL
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Claims
These findings demonstrate that current disinformation detectors may systematically disadvantage hundreds of millions of non-SAE speakers worldwide.
The Multi-VALUE transformations produce dialectal variants that accurately reflect real-world usage and preserve the original disinformation label without introducing confounding artifacts that independently affect model performance.
DIA-HARM reveals that human-written dialectal English degrades disinformation detector F1 by 1.4-3.6% while AI-generated dialectal content stays stable, with multilingual models generalizing better than monolingual ones.
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| First computed | 2026-06-30T02:17:20.223611Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac19457288954cb50837ee0339e2306eb02aa5b2ad7fc535591594ac4527ef14
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQMUK4UISVGLKCBX5YBTTYRQN2 \
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Canonical record JSON
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