Rubegni, E. and Landoni, M. and De Angeli, A. and Jaccheri, L. (2019) Detecting gender stereotypes in children digital storytelling. In: IDC '19 Proceedings of the 18th ACM International Conference on Interaction Design and Children. ACM, New York, pp. 386-393. ISBN 9781450366908
Full text not available from this repository.Abstract
Gender is a major variable affecting identity and life opportunities from a young age. Our research aims to explore the persistence of gender stereotypes in multimedia stories created by children with the final purpose of attenuating this stereotypical thinking by proposing new processes and tools. The paper investigates the following research question: how can gender stereotypes be detected in the stories produced by children with Digital StoryTelling? We addressed this issue by analyzing 23 multimedia stories created by 83 children, aged 11-12 years. The main contribution of our work is an evaluation methodology to detect gender stereotypes. © 2019 Copyright held by the owner/author(s).