Across six LLMs, 9.8 to 35.1 percent of statements receive different veracity labels when only the speaker's gender-coded job title changes.
Title resolution pending
1 Pith paper cite this work, alongside 110 external citations. Polarity classification is still indexing.
1
Pith paper citing it
110
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection
Across six LLMs, 9.8 to 35.1 percent of statements receive different veracity labels when only the speaker's gender-coded job title changes.