Can Evidence Impact Attitudes? Public Reactions to Evidence of Gender Bias in STEM Fields
By C. Moss‐Racusin, Aneta Molenda, Charlotte R. Cramer. 2015
90 citations recorded by the source corpus.
Subfields: Gender Studies, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
In Sociology and Political Science
Citations in the corpus
- Assessing gender bias in machine translation: a case study with Google Translate (2018, background): “agreement with suggested stereotypes, [29] STEM fields are second only to Legal ones in the prominence of male defaults.”
- Gender Stereotypes. (2018, background): “Studies consistently show that men are more reluctant than women to accept the validity of data showing this role, especially when they work in STEM fields themselves (Handley et al. 2015, Moss-Racusin et al. 2015).”