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

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RT @cecileLG: @RzrFreeFr @CMoulinSchwartz @github @CaroCorbal Here it is "Gender differences and bias in open source: Pull request acceptan…
11 days ago
@RzrFreeFr @CMoulinSchwartz @github @CaroCorbal Here it is "Gender differences and bias in open source: Pull request acceptance of women versus men" > https://t.co/Vd0YBcXT82
@akivaw @TitusFCVA @godmotherNesu @kjthoward_RS @blueobsidian @dalstondavid @simonleggsays @NuubRS @duolingo Study on gender bias in software dev demonstrated that women's dev work was seen as more competent than men's when their gender wasn't obvious, and as less so when their gender was obvious: https://t.co/ZIbLXqSauD The orchestra strategy (blind assessment of skill) can apply.
@Mando1392 @CathKikuchi Il y a votre ressenti, et il y a les testing et les stats: - A CV identique, les F - recrutées et - payées : https://t.co/N488gQuoEp - les résultats des F moins acceptés : https://t.co/KGVZxPXlE1 - discriminations dès l'embauche : https://t.co/9f2tUVaaLq Il y a plein d'autres ex
@xanas3712 @jordanbpeterson Regarding point 1: here's a study showing that despite having the same technical aptitude as men, women are perceived as less skilled developers - e.g.: https://t.co/Pp66pNq0hZ https://t.co/sIqaAecL55 (Tech is one of the most male-dominated industries so it's a good example)
@xanas3712 @jordanbpeterson Regarding point 1: here's a study showing that despite having the same technical aptitude as men, women are perceived as less skilled developers - e.g.: https://t.co/Pp66pNq0hZ https://t.co/sIqaAecL55 (Tech is one of the most male-dominated industries so it's a good example)
125 days ago
Gender in Open Source https://t.co/42F3gOurBs via @PeerJPreprints
128 days ago
@Hahapoem 我想到這個:https://t.co/drWs3BX2hX 之前讀書的時候,有次分組和一個男一個女同學同組,那個男生看到我們馬上這個臉
131 days ago
RT @kindofstrange: Gatekeeping dudebro: "If there are women coders then why don't I see more of them on GitHub?!?" https://t.co/uRyLRDcIAQ
RT @kindofstrange: Gatekeeping dudebro: "If there are women coders then why don't I see more of them on GitHub?!?" https://t.co/uRyLRDcIAQ
Gatekeeping dudebro: "If there are women coders then why don't I see more of them on GitHub?!?" https://t.co/uRyLRDcIAQ
RT @amlyhamm: For those who were interested, here is the code review gender bias study I mentioned: https://t.co/1XDla4O0to A few articles…
RT @amlyhamm: For those who were interested, here is the code review gender bias study I mentioned: https://t.co/1XDla4O0to A few articles…
240 days ago
For those who were interested, here is the code review gender bias study I mentioned: https://t.co/1XDla4O0to A few articles discussing the study: https://t.co/AjK5wuJDSP and https://t.co/M3kbDQ3gsb #TCCC22
RT @lasdesistemas: Hay un estudio que dice exactamente lo contrario a eso que dijeron: https://t.co/WFi0PmcEzK https://t.co/A8TPUVavx2
RT @lasdesistemas: Hay un estudio que dice exactamente lo contrario a eso que dijeron: https://t.co/WFi0PmcEzK https://t.co/A8TPUVavx2
RT @lasdesistemas: Hay un estudio que dice exactamente lo contrario a eso que dijeron: https://t.co/WFi0PmcEzK https://t.co/A8TPUVavx2
250 days ago
RT @lasdesistemas: Hay un estudio que dice exactamente lo contrario a eso que dijeron: https://t.co/WFi0PmcEzK https://t.co/A8TPUVavx2
Hay un estudio que dice exactamente lo contrario a eso que dijeron: https://t.co/WFi0PmcEzK https://t.co/A8TPUVavx2
RT @laurasherbin: #Code written by #women is ranked higher than #men… BUT ONLY when shared anonymously. #Research exposing #genderbias in #…
#Code written by #women is ranked higher than #men… BUT ONLY when shared anonymously. #Research exposing #genderbias in #STEM: https://t.co/u8Pvt2IsQV. @TalentInnovate's upcoming research further examines the #biases and #successes #WomenInSTEM experience
279 days ago
Gender bias is real. For men and women. And is only one kind of bias. Learn how to combat it in #HardTalkgoo.gl/eRl5Et  https://t.co/umF5AourSJ https://t.co/9C7BNTMPmR
279 days ago
Gender bias is real. For men and women. And is only one kind of bias. Learn how to combat it in #HardTalkgoo.gl/eRl5Et  https://t.co/0HWElf210F https://t.co/9C7BNTMPmR
283 days ago
@OPushkina @dude59RUS Вы скорее всего имели в виду это https://t.co/tHh8xn6iZn
RT @pepemaestre: Según este estudio, hay menos probabilidad de que acepten una contribución en GitHub si viene de una mujer. No es mal día…
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Josh Terrell conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Andrew Kofink conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Justin Middleton conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Clarissa Rainear analyzed the data, wrote the paper, reviewed drafts of the paper.

Emerson Murphy-Hill conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Chris Parnin conceived and designed the experiments, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Jon Stallings conceived and designed the experiments, analyzed the data, wrote the paper, reviewed drafts of the paper.

Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

NCSU IRB approved under #6708.

Data Deposition

The following information was supplied regarding data availability:

Data sets from GHTorrent and Google+ are publicly available.

Funding

This material is based in part upon work supported by the National Science Foundation under grant number 1252995. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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