February 11, 2016

Data Analysis of GitHub Contributions Reveals Unexpected Gender Bias

 jetpack-octocatWith more than 12 million users, GitHub is one of the largest online communities for collaborating on development projects. Now a team of researchers has done an exhaustive analysis of millions of GitHub pull requests for open source projects, trying to discover whether the contributions of women were accepted less often than the contributions of men. What they discovered was that women's contributions were actually accepted more often than men'sâbut only if the women had gender-neutral profiles. Women whose GitHub profiles revealed their genders had a much harder time.

Read more at Ars Technica

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