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

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

24 Jun 2019WS 2019 8arXiv:1906.10256archive 2025-07-28

Jayadev Bhaskaran, Isha Bhallamudi

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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