Sexist textbooks: Automated analysis of gender bias in 1,255 books from 34 countries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A7EG5N59K" target="_blank" >RIV/00216208:11320/25:7EG5N59K - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206004693&doi=10.1371%2fjournal.pone.0310366&partnerID=40&md5=4c6279c5c03bc77d783c6976bea1c76c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206004693&doi=10.1371%2fjournal.pone.0310366&partnerID=40&md5=4c6279c5c03bc77d783c6976bea1c76c</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0310366" target="_blank" >10.1371/journal.pone.0310366</a>
Alternative languages
Result language
angličtina
Original language name
Sexist textbooks: Automated analysis of gender bias in 1,255 books from 34 countries
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS ONE
ISSN
1932-6203
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
10 October
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
1-27
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85206004693