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Quantifying behavior-based gender discrimination on collaborative platforms

Title / Series / Name
Publication Volume
Publication Issue
Pages
Editors
Keywords
Behance
GitHub
behavior-based discrimination
gender discrimination
platforms
Multidisciplinary
SDG 5 - Gender Equality
URI
https://hdl.handle.net/20.500.14018/26418
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.
Topic
Publisher
Place of Publication
Type
Journal article
Date
2025-02-01
Language
ISBN
Identifiers
10.1093/pnasnexus/pgaf026
Publisher link
Unit