Title
Detecting Gender Stereotypes in Children Digital StoryTelling
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.
Year
DOI
Venue
2019
10.1145/3311927.3323156
Proceedings of the 18th ACM International Conference on Interaction Design and Children
Keywords
Field
DocType
Children Computer Interaction, Digital StoryTelling, Digital technology and Gender, Gender stereotypes, Technology in Education
Storytelling,Comics,Computer science,Pedagogy,Digital storytelling,Multimedia,Negotiation
Conference
ISBN
Citations 
PageRank 
978-1-4503-6690-8
3
0.40
References 
Authors
0
4
Name
Order
Citations
PageRank
Elisa Rubegni122620.82
Monica Landoni246165.73
Antonella De Angeli392575.05
Letizia Jaccheri443848.21