@LasorsaLautaro Por suerte vari@s expert@s se dedicaron a hacerlo. Si te interesa indagar más sobre el tema:
https://t.co/IYmjlZqs6K
https://t.co/kcouLlwiJN
@_ideafix @lasdesistemas @BridgethegapLat @mujerytecno La pantalla que compartí es de un curso de Bias in AI, encontré el estudio acá:
https://t.co/IYmjlZqs6K
Y este más nuevo que amplía la info: https://t.co/kcouLlwiJN
@FranDones @mj_benitez @lasdesistemas @BridgethegapLat @mujerytecno No encuentro ese dato en el estudio, pero hay bastante más info si querés indagar: https://t.co/IYmjlZqs6K
@IKlimberg @chaquetumate @lasdesistemas @BridgethegapLat @mujerytecno Leyendo los papers imagino que si. Este es el original que compartí:
https://t.co/IYmjlZqs6K
Y este es otro más actual que lo amplía
https://t.co/kcouLlwiJN
Code written by women is more frequently accepted, as long as no one knows they are women. Check out this study: https://t.co/KpN0PkrD9p #inclusion #diversity #opensource #hiremorewomenintech https://t.co/jkimatgdZ8
@pifafu @github An awesome 2016 study on OSS PRs revealed that perceived gender resulted in lower acceptance rates for contributors perceived to be female. I wonder if these findings can serve as a starting point for designing a more inclusive experience: https://t.co/NmRemIiKPf
Post 10 features T again, this time wearing his #opensource or #openscience scarf, I'm not sure which. The tweet reads:
I'm sure there are other kinds of cleaning and stuff women do, but I can't really think of examples
#womensworkiswork
#bayareabirds
https://t.co/Mb95gGtZVX
@marianeum @EmilyKager I'm pretty sure this has been studied, and women end up producing better code.. just one journal I found I'm sure there are others.. https://t.co/VmBJMANSVT
@krakramille @jcdubacq https://t.co/UX54fkvvct
« Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless. »
@decidim_org @DigitalFems "Surprisingly, our results show that women’s contributions tend to be accepted more often than men’s. However, for contributors who are outsiders to a project and their gender is identifiable, men’s acceptance rates are higher."
https://t.co/oANMmwt4ic
#genderbias https://t.co/EPjn8jeP4L
On GitHub, women's pull requests tend to be accepted more often than men's. But only where they're not identifiable as women. Gender bias in open source? Self selection bias? Or women being held to higher standards? https://t.co/ecXJDoiFL7 #bias
Study this article was based off shows the female acceptance rate on projects was 62.1%, higher than the male's rate of 60.7%. It summarizes the study as "Women are more likely to have pull requests accepted than men." https://t.co/eMv1cJsuB7 https://t.co/kBmD7ptlV2
> women’s contributions tend to be accepted more often than men’s; for outsiders whose gender is identifiable, men’s acceptance rates are higher suggesting that although women on GitHub may be more competent overall, bias against them exists nonetheless.
https://t.co/RzVps0NRmX https://t.co/hNGQvnmhuX