Work

Detecting Gender Stereotypes in Children Digital StoryTelling

Year: 2019

Type: conference-paper

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.

Source: ACM International Conference on Interaction Design and Children (IDC)

DOI: 10.1145/3311927.3323156

Authors: Elisa Rubegni, Monica Landoni, Antonella De Angeli, Letizia Jaccheri

Institutions: University of Lincoln, Università della Svizzera italiana, Free University of Bozen-Bolzano, Norwegian University of Science and Technology

Language: English

Topic: Digital Storytelling and Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Gender equality

Open Access status: green

OpenAlex ID: W2948695845

FWCI: 15.02

Cites: 45

Cited by: 27

Related to: 10