ArticleProceedings of the National Academy of Sciences of the United States of America2025
Debiasing job ads by replacing masculine language increases gender diversity of applicant pools.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Removing masculine defaults in the hiring process.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Debiasing job ads by replacing masculine language increases gender diversity of applicant pools.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Job advertisements for jobs in male-dominated fields tend to contain more masculine language, and a commonly proposed intervention to increase gender diversity in applicant pools is to remove this language. In our research, we offer predictions about the broader impact of such interventions on individuals who may not "fit" with traditional masculine identity. Across four multimethod studies (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.