Published June 30, 2023
| Version v1
Conference paper
Open
Implicit Gender Inequality in Children's Picture Books: Evidence from a Text Mining Analysis of 200 Bestselling Chinese and British Titles
Creators
- 1. School of Literatures, Languages and Cultures, University of Edinburgh, United Kingdom
- 2. College of Arts, Humanities and Social Sciences, University of Edinburgh, United Kingdom
- 3. School of Systems Science, Beijing Normal University
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
This paper compares the gender narratives in children's picture books in the UK and China, with the full text of a pipeline of 200 bestselling picture books from 2010 to 2020. We applied Term Frequency and Sentiment Analysis, to examine the invisible gender stereotypes in 200 picture book texts.
Files
LI_Yi_Implicit_Gender_Inequality_in_Children_s_Picture_Books.pdf
Files
(359.9 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:ffd7be5f9fe5ecd00142ccca5452de9c
|
307.8 kB | Preview Download |
|
md5:5ab04e3485a3cf46887314e794f420ae
|
52.1 kB | Preview Download |
Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.7961822 (DOI)