Cited by 24Digital Storytelling and EducationGender and Technology in EducationMedia, Gender, and Advertising

Detecting Gender Stereotypes in Children Digital StoryTelling

Open access
Rubegni, Elisa, Landoni, Monica, De Angeli, Antonella, Jaccheri, Letizia·2019·Proceedings of the 18th ACM International Conference on Interaction Design and Children

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.

Integrity signals

Registry

Crossref · 10.1145/3311927.3323156

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rubegni, E., Landoni, M., De Angeli, A., & Jaccheri, L.
Affiliations
  • University of Lincoln (GB)
  • Università della Svizzera italiana (CH)
  • Free University of Bozen, Bolzano, Italy
  • Norwegian University of Science and Technology (NO)
Venue
Proceedings of the 18th ACM International Conference on Interaction Design and Children
Publisher
ACM
Published
2019-06-12
Pages
386-393
OpenAlex
W2948695845
Cited by
24
References
45
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 5
FWCI
18.47
Type
conference paper
Language
en
Open access
Locations
  • ACM International Conference on Interaction Design and Children (IDC) (publishedVersion)
  • Lincoln Repository (University of Lincoln) (acceptedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
  • Open Research (University of Surrey) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Speech and Hearing › Digital Storytelling and Education
  • Social Sciences › Gender Studies › Gender and Technology in Education
  • Social Sciences › Gender Studies › Media, Gender, and Advertising
Keywords
gender stereotypes, digital storytelling, children, gender identity, evaluation methodology

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review