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Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis

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abstract

In this work, we investigate the presence of occupational gender stereotypes in sentiment analysis models. Such a task has implications for reducing implicit biases in these models, which are being applied to an increasingly wide variety of downstream tasks. We release a new gender-balanced dataset of 800 sentences pertaining to specific professions and propose a methodology for using it as a test bench to evaluate sentiment analysis models. We evaluate the presence of occupational gender stereotypes in 3 different models using our approach, and explore their relationship with societal perceptions of occupations.

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cs.CL 1

years

2025 1

verdicts

CONDITIONAL 1

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Exploring Gender Bias Beyond Occupational Titles

cs.CL · 2025-07-03 · conditional · novelty 6.0

The paper presents GenderLexicon and a ClozeGender score, reporting that action verbs and object nouns carry gender bias beyond occupational stereotypes in English and Japanese language models.

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  • Exploring Gender Bias Beyond Occupational Titles cs.CL · 2025-07-03 · conditional · none · ref 6 · internal anchor

    The paper presents GenderLexicon and a ClozeGender score, reporting that action verbs and object nouns carry gender bias beyond occupational stereotypes in English and Japanese language models.