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Anjali Adukia; Alex Eble; Emileigh Harrison; Hakizumwami Birali Runesha; Teodora Szasz – Grantee Submission, 2023
Books shape how children learn about society and norms, in part through representation of different characters. We use computational tools to characterize representation in children's books widely read in homes, classrooms, and libraries over the last century, and describe economic forces that may contribute to these patterns. We introduce new…
Descriptors: Self Concept, Racism, Gender Bias, Childrens Literature
Anjali Adukia; Callista Christ; Anjali Das; Ayush Raj – Grantee Submission, 2022
The way that people of different identities are portrayed in children's books can send subconscious messages about how positively or negatively children should think about people with those identities. These messages can then shape the next generation's perceptions and attitudes about people, which can have important implications for belief…
Descriptors: Childrens Literature, Books, Race, Gender Bias
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