Gender bias affects contributions to the open source community, according to a paper published Monday. Female programmers' suggestions for code changes in open source projects -- called "pull requests" -- were accepted more often than those of their male counterparts when gender was unspecified. However, that changed when the gender of a pull request's author could be identified. Authors who could be identified by name or a profile picture as women had lower pull request acceptance rates than those who could be identified as men.
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Tuesday, May 2, 2017
Study Finds Gender Bias in Open Source Community
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