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Duckface/stoneface: Selfie stereotypes and selfie literacy in gendered media practices in Sweden
Södertörn University, Sweden.ORCID iD: 0000-0001-8669-5752
Responsible organisation
2017 (English)In: Beyond the Stereotypes?: Images of Boys and Girls, and their Consequences, Yearbook 2017 / [ed] Lemish, Dafna, & Maya Götz, Gothenburg: Nordicom, University of Gothenburg , 2017, p. 193-202Chapter in book (Other academic)
Abstract [en]

This article describes how Swedish teens use selfies for gendered self-representation in online peer-to-peer communication. The aim of the article is to critically question and add on to the extensive tradition of studies of large scale mass mediated stereotypes, by looking at how gender selfie stereotypes are produced and performed in social media through the interaction and participation of school children. The article combines constructionist perspectives on representation and gender with social semiotics. Based on empirical data from focus group interviews with student from grade 7 in four Stockholm schools (N=41) the article show that the way the selfie genre is played out and negotiated among teens is marked by gender stereotypes. These stereotypes are used to confirm a dualistic separation of sexes, the subordination of women, and a heteronormative order for sexuality, but also used for “stereotype vitalization” where prevailing gender norms are renegotiated, jested and mocked.

Place, publisher, year, edition, pages
Gothenburg: Nordicom, University of Gothenburg , 2017. p. 193-202
National Category
Media and Communications Gender Studies
Research subject
Media; Children and young people; Gender equality
Identifiers
URN: urn:nbn:se:norden:org:diva-12007Libris ID: 22282550ISBN: 978-91-87957-76-5 ISBN: 978-91-87957-77-2 OAI: oai:DiVA.org:norden-12007DiVA, id: diva2:1535887
Available from: 2021-03-09 Created: 2021-03-09Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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