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Gender-based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual-institutional follow-up study using natural language processing and deep learning
Journal article   Peer reviewed

Gender-based linguistic differences in letters of recommendation for rhinology fellowship over time: A dual-institutional follow-up study using natural language processing and deep learning

Vikram Vasan, Christopher P Cheng, Shaun Edalati, Shreya Mandloi, David K Lerner, Anthony Del Signore, Madeleine Schaberg, Satish Govindaraj, Mindy Rabinowitz, Gurston Nyquist, …
International forum of allergy & rhinology, Vol.14(11), pp.1814-1817
2024-11
PMID: 39010845

Abstract

Correspondence as Topic Deep Learning Fellowships and Scholarships Female Follow-Up Studies Humans Linguistics Longitudinal Studies Male Natural Language Processing Otolaryngology - education Sex Factors Sexism
This follow-up dual-institutional and longitudinal study further evaluated for underlying gender biases in LORs for rhinology fellowship. Explicit and implicit linguistic gender bias was found, heavily favoring male applicants.

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