Investigating the Effects of Gender Bias on GitHub


Recommended citation:

Nasif Imtiaz, Justin Middleton, Joymallya Chakraborty, Neill Robson, Gina R. Bai, and Emerson Murphy-Hill, ‘‘Investigating the Effects of Gender Bias on GitHub,’’ 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 2019, pp. 700-711, doi: 10.1109/ICSE.2019.00079.

[Full Paper]


Diversity, including gender diversity, is valued by many software development organizations, yet the field remains dominated by men. One reason for this lack of diversity is gender bias. In this paper, we study the effects of that bias by using an existing framework derived from the gender studies literature.We adapt the four main effects proposed in the framework by posing hypotheses about how they might manifest on GitHub,then evaluate those hypotheses quantitatively. While our results how that effects of gender bias are largely invisible on the GitHub platform itself, there are still signals of women concentrating their work in fewer places and being more restrained in communication than men.