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.