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These are their stories: En kvantitativ innehållsanalys om hur huvudkaraktärerna porträtteras i Law & Order: Special Victims Unit
Linnaeus University, Faculty of Arts and Humanities, Department of Media and Journalism.
Linnaeus University, Faculty of Arts and Humanities, Department of Media and Journalism.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study aims to investigate how the main characters of Law & Order: SpecialVictims Unit are portrayed by using a list of gender-coded attributes. By using aquantitative content analysis the authors of this study examined the behaviour of 14different characters over 19 seasons to find similarities and differences in how thefemale and male characters were portrayed. The findings showed that both thefemale and male characters had a higher amount of male coded attributes thanfemale coded attributes, and that the highest showing attributes varied very littlebetween both the individual characters and the gender groups as a whole. This kindof study has scarcely been done regardless of genre, and so it serves as a solidfoundation for future research.

Place, publisher, year, edition, pages
2018.
Keywords [sv]
kvantitativ innehållsanalys, kriminalserie, porträttering, könsroller, stereotyper, attribut, Law & Order: Special Victims Unit
National Category
Media and Communications
Identifiers
URN: urn:nbn:se:lnu:diva-77516OAI: oai:DiVA.org:lnu-77516DiVA, id: diva2:1244483
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Available from: 2018-09-24 Created: 2018-09-01 Last updated: 2018-09-24Bibliographically approved

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File name FULLTEXT01.pdfFile size 1276 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • html
  • text
  • asciidoc
  • rtf