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

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RT @danielle8farias: @AlineBastos Sim... Isso me lembrou de daquela pesquisa feita no GitHub anos atrás, quando pesquisadores descobriram q…
RT @danielle8farias: @AlineBastos Sim... Isso me lembrou de daquela pesquisa feita no GitHub anos atrás, quando pesquisadores descobriram q…
RT @danielle8farias: @AlineBastos Sim... Isso me lembrou de daquela pesquisa feita no GitHub anos atrás, quando pesquisadores descobriram q…
@AlineBastos Sim... Isso me lembrou de daquela pesquisa feita no GitHub anos atrás, quando pesquisadores descobriram que os códigos escritos por mulheres são mais aprovados do que aqueles escritos por homens, mas apenas quando o gênero não é divulgado. https://t.co/qgHEF4ESeA
58 days ago
@MacAnthonychyke @Favone_ @umohjoe @Akas_Rox @Bentley1899 @SPARNigeria https://t.co/sFzuqRdWea helping you out since you obviously don’t know how to use a search engine.
RT @kcr: Women are better coders but have their pull requests rejected more when their gender is visible: https://t.co/ET74BaMz1U
207 days ago
RT @BigStepInc: According to a @github research, women coders' pull requests are accepted at a higher rate than men's! Happy International…
RT @BigStepInc: According to a @github research, women coders' pull requests are accepted at a higher rate than men's! Happy International…
207 days ago
RT @BigStepInc: According to a @github research, women coders' pull requests are accepted at a higher rate than men's! Happy International…
RT @BigStepInc: According to a @github research, women coders' pull requests are accepted at a higher rate than men's! Happy International…
207 days ago
According to a @github research, women coders' pull requests are accepted at a higher rate than men's! Happy International Women’s Day! https://t.co/btWm1DSg0p Do you believe gender still impacts career aspirations?
223 days ago
RT @ApuntesCiencia: @ClaraGrima https://t.co/dsg84kYz4e
@ClaraGrima https://t.co/dsg84kYz4e
@sacquin_mo Quelques études : https://t.co/KGVZxPXlE1 https://t.co/jrGfFX6xvn https://t.co/9f2tUVaaLq https://t.co/UUrPsV4kYR https://t.co/QdIomJw3Yh https://t.co/EX9IzW0G4Q https://t.co/ZUANWsY0Dq https://t.co/tMp2Hb6LaM Et ce grand thread avec plein de liens : https://t.co/yTdC2KPoYi
@ondrakucera @vit_tucek @Dirt_Poor_Ugly Ale úplně největší problém vidím v “unconcious bias”: https://t.co/NWQsgeUpja
@JiriHolub2 Další: https://t.co/NWQsgeUpja
@PetrKovarik1 @smrkovyles @ankahajkova @Tomas_Tozicka @InclusiveLucie @EvLacinov @MarcikFrantisek @trnk_c @jakub_ort A zde poradna studie: https://t.co/NWQsgeUpja
@__jedem__ @javakdg Ik denk dat je het dan niet goed leest, hier het hele onderzoek https://t.co/JZbp4YbSPo over de significantie staat er: "for bigdata studies such as this one, even small differences can be statistically significant. "
@DanielPolach @pavelhoudek @kedrix79 Je to ve všech oborech. Práva patří prave mezi ty nejhorší, možná horsi než technické obory, když přijde na predsudky vůči ženám. Pokud se vám nelibi lehký článek pro ilustraci, tak tu mate tvrde vedecke studie. https://t.co/NWQsgeUpja
@EmmigrantPanama @lokutus @Vysmek @hansvavra @IcepointMilik @manicsis @martiiiiiiik @haramkaza @9sirtom5 Nebo hodnoceni programátorů a programatorek: https://t.co/NWQsgeUpja
@Vysmek @lokutus @hansvavra @IcepointMilik @manicsis @martiiiiiiik @haramkaza @9sirtom5 Žádný kapitalista nebude zaměstnávat někoho, koho pokládá za horšího pracovníka a určitě mu nebude platit stejne dobre peníze. Bias je samozřejmě davno vedecky prokázán, existuje. https://t.co/NWQsgeUpja
@sopptik @RovnaO @statistickyurad @EU_Eurostat @eurogender @NKC_CZ @Sociologicky Je to velmi donee zmereny fakt: https://t.co/NWQsgeUpja
@Vory18 @BobCZap Vědecká data: https://t.co/NWQsgeUpja
RT @petermbenjamin: When you read code, the race, religion, politics, gender, and orientation of the author are most certainly factors in t…
306 days ago
RT @petermbenjamin: When you read code, the race, religion, politics, gender, and orientation of the author are most certainly factors in t…
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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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