TY - JOUR UR - https://doi.org/10.7287/peerj.preprints.1733v2 DO - 10.7287/peerj.preprints.1733v2 TI - Gender differences and bias in open source: Pull request acceptance of women versus men AU - Terrell,Josh AU - Kofink,Andrew AU - Middleton,Justin AU - Rainear,Clarissa AU - Murphy-Hill,Emerson AU - Parnin,Chris AU - Stallings,Jon DA - 2016/07/26 PY - 2016 KW - gender KW - bias KW - open source KW - software development KW - software engineering AB - Biases against women in the workplace have been documented in a variety of studies. This paper presents the largest study to date on gender bias, where we compare acceptance rates of contributions from men versus women in an open source software community. Surprisingly, our results show that women's contributions tend to be accepted more often than men's. However, women's acceptance rates are higher only when they are not identifiable as women. Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless. VL - 4 SP - e1733v2 T2 - PeerJ Preprints JO - PeerJ Preprints J2 - PeerJ Preprints SN - 2167-9843 ER -