ArticlePNAS nexus2025
Quantifying behavior-based gender discrimination on collaborative platforms.
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
Digital collaborative platforms have become crucial venues of career advancement and individual success in many creative fields, from engineering to the arts. Gender discrimination related to behavioral choices of users is a key component to gendered disadvantage on platforms. Such platforms carried the promise of opening avenues of advancement to previously discriminated groups, such as women, as platforms lack managerial gatekeepers with conventional prejudice. We analyzed the extent of behavior-based gender discrimination on two digital platforms, GitHub and Behance, focused on software development and fine arts and design. We found that the main cause of women's disadvantage in attention, success, and survival is largely due to the gender typicality of their behavior that varies between 60 and 90% of the total disadvantage of women. Men and women are penalized if they follow highly female-like behavior, while categorical gender is no longer significant. As platforms employ algorithmic tools and AI systems to manage users' activity and visibility, and recommend new projects to collaborate, stereotypes associated with behavior can have long-lasting consequences.
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