Sexist textbooks: Automated analysis of gender bias in 1,255 books from 34 countries

PLoS One. 2024 Oct 9;19(10):e0310366. doi: 10.1371/journal.pone.0310366. eCollection 2024.

Abstract

Textbooks play a critical role in schooling around the world. Small sample studies show that many books continue to under-represent women and girls, and to portray men and women in stereotypical gendered roles. In this paper, we use quantitative text analysis to assess the degree of gender bias in a newly assembled corpus of 1,255 English language school textbooks from 34 countries that are publicly available online. We find consistent patterns of under-representation of female characters and portrayal of stereotypical gendered roles. Women and girls appear less frequently, are portrayed as more passive, are less likely to be associated with work or achievement, and are more likely to be associated with the home and traditionally female occupations. Comparing across countries, female representation in books is correlated with higher GDP and more legal rights for women. Under-representation and stereotypes are a particular problem in South Asia.

MeSH terms

  • Books
  • Female
  • Gender Role
  • Humans
  • Male
  • Sexism* / statistics & numerical data
  • Stereotyping
  • Textbooks as Topic*

Grants and funding

This research was supported by funding from the Bill and Melinda Gates Foundation and Echidna Giving. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.