Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Books | 2 |
Childrens Literature | 2 |
Gender Bias | 2 |
Social Bias | 2 |
Age | 1 |
Artificial Intelligence | 1 |
Classification | 1 |
Illustrations | 1 |
LGBTQ People | 1 |
Language Usage | 1 |
Measurement Techniques | 1 |
More ▼ |
Source
Grantee Submission | 2 |
Author
Adukia, Anjali | 2 |
Harrison, Emileigh | 2 |
Runesha, Hakizumwami Birali | 2 |
Chiril, Patricia | 1 |
Christ, Callista | 1 |
Das, Anjali | 1 |
Eble, Alex | 1 |
Lin, Ping-Chang | 1 |
Liu, Ping-Jung | 1 |
Szasz, Teodora | 1 |
Publication Type
Reports - Research | 2 |
Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Adukia, Anjali; Chiril, Patricia; Christ, Callista; Das, Anjali; Eble, Alex; Harrison, Emileigh; Runesha, Hakizumwami Birali – Grantee Submission, 2022
The manner in which gender is portrayed in materials used to teach children conveys messages about people's roles in society. In this paper, we measure the gendered depiction of central domains of social life in 100 years of highly influential children's books. We make two main contributions: (1) we find that the portrayal of gender in these books…
Descriptors: Childrens Literature, Books, Gender Bias, Sex Stereotypes
Szasz, Teodora; Harrison, Emileigh; Liu, Ping-Jung; Lin, Ping-Chang; Runesha, Hakizumwami Birali; Adukia, Anjali – Grantee Submission, 2022
Images in children's books convey messages about society and the roles that people play in it. Understanding these messages requires systematic measurement of who is represented. Computer vision face detection tools can provide such measurements; however, state-of-the-art face detection models were trained with photographs, and 80\% of images in…
Descriptors: Childrens Literature, Books, Artificial Intelligence, Race