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Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs. (arXiv:2211.09942v1 [cs.CL])
Nov. 21, 2022, 2:15 a.m. | Jinrui Yang, Sheilla Njoto, Marc Cheong, Leah Ruppanner, Lea Frermann
cs.CL updates on arXiv.org arxiv.org
Gender discrimination in hiring is a pertinent and persistent bias in
society, and a common motivating example for exploring bias in NLP. However,
the manifestation of gendered language in application materials has received
limited attention. This paper investigates the framing of skills and background
in CVs of self-identified men and women. We introduce a data set of 1.8K
authentic, English-language, CVs from the US, covering 16 occupations, allowing
us to partially control for the confound occupation-specific gender base rates.
We …
arxiv case case study cvs english gender information power presentation study
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