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Gender bias in open source: Pull request acceptance of women versus men
(www.researchgate.net)
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this post was submitted on 19 May 2024
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Anyone found the specific numbers of acceptance rate with in comparison to no knowledge of the gender?
On researchgate I only found the abstract and a chart that doesn't indicate exactly which numbers are shown.
edit:
Interesting for me is that not only women but also men had significantly lower accepance rates once their gender was disclosed. So either we as humans have a really strange bias here or non binary coders are the only ones trusted.
edit²:
I'm not sure if I like the method of disclosing people's gender here. Gendered profiles had their full name as their user name and/or a photography as their profile picture that indicates a gender.
So it's not only a gendered VS. non-gendered but also a anonymous VS. indentified individual comparison.
And apparantly we trust people more if we know more about their skills (insiders rank way higher than outsiders) and less about the person behind (pseudonym VS. name/photography).
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~Anti~ ~Commercial-AI~ ~license~ ~(CC~ ~BY-NC-SA~ ~4.0)~
Thank you. Unfortunately, your link doesn't work either - it just leads to the creative commons information). Maybe it's an issue with Firefox Mobile and Adblockers. I'll check it out later on a PC.
Their link wasn't to the paper but to the license to poison possible AIs training their models on our posts. Idk if that actually is of any use though