Gender bias in open source: Pull request acceptance of women versus men

About (English version): 

Biases against women in the workplace have been documented in a variety of studies. This paper presents the largest study to date on gender bias, where we compare acceptance rates of contributions from men versus women in an open source software community. Surprisingly, our results show that women's contributions tend to be accepted more often than men's. However, when a woman's gender is identifiable, they are rejected more often. Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless.

Public identifier: 
https://doi.org/10.7287/peerj.preprints.1733v1
Type of resource: 
Media Type: 
Digital Document (pdf, doc, ppt, txt, etc.)
Language(s): 
English
Date created: 
2016
Is this resource freely shareable?: 
Shareable
Total energy: 
161

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