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.
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.
Looking at their comment history they seem to allways include that link to the CC license page in some attempt to prevent the comments from being used with AI.
I have no idea of if that is actually a thing or just a fad, but that was the link.
Thanks for pointing that out.
Seems like a wild idea as… a) it poisons the data not only for AI but also real users like me (I swear I’m not a bot :D). b) if this approach is used more widely, AIs will learn very fast to identify and ignore such non-sense links and probably much faster than real humans.
It sounds like a similar concept as captchas with annoy real people, yet fail to block out bots.
Page 15 of the pdf has this chart
(note the vertical axis starts at 60% acceptance rate)
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