132
Gender bias in open source: Pull request acceptance of women versus men (www.researchgate.net)
submitted 6 months ago by rimu@piefed.social to c/foss@beehaw.org
38 comments fedilink hide all child comments

Our results show that women's contributions tend to be accepted more often than men's [when their gender is hidden]. 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.

you are viewing a single comment's thread
view the rest of the comments
[-] rbn@sopuli.xyz 6 points 6 months ago

The study differentiates between male and female only and purely based on physical features such as eye brows, mustache etc.

I agree you can't see one's gender but I would say for the study this can be ignored. If you want to measure a bias ('women code better/worse than men'), it only matters what people believe to see. So if a person looks rather male than female for a majority of GitHub users, it can be counted as male in the statistics. Even if they have the opposite sex, are non-binary or indentify as something else, it shouldn't impact one's bias.

this post was submitted on 19 May 2024
132 points (99.3% liked)

Free and Open Source Software

17729 readers
72 users here now

If it's free and open source and it's also software, it can be discussed here. Subcommunity of Technology.

This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago
MODERATORS
alyaza@beehaw.org
Gaywallet@beehaw.org