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
et al.
Abstract:Key points
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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