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The Dynamics and Information Value of Election News: A Longitudinal Study of Swedish Election News, 1979-2006
Göteborgs universitet.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Demokratiinstitutet Demicom)ORCID iD: 0000-0001-5964-102X
2008 (English)In: International Association for Media and Communication Research’s Annual Conference, 2008Conference paper, (Refereed)
Abstract [en]

While there are numerous studies on how the media cover election campaigns, there is still a lack of longitudinal studies of the dynamics of election news over time and within election campaigns. At the same time, partisan dealignment and increasing electoral volatility suggest that people’s need for orientation – and hence their need for news media providing them with the information they need to cast informed votes – has increasing over time. Against this background, the purpose of this study is to investigate the information value of Swedish election news, both across and within the nine last parliamentary elections, held between 1979 and 2006. Based on a quantitative content analysis of more than 36,000 news stories, the general conclusion of this study is that the information value of Swedish election news has decreased, over time as well as within election campaigns and as Election Day approaches.

Place, publisher, year, edition, pages
2008.
Keyword
Election news, framing, informativeness
National Category
Media and Communications
Identifiers
URN: urn:nbn:se:miun:diva-7561Local ID: DEMICOMOAI: oai:DiVA.org:miun-7561DiVA: diva2:127711
Available from: 2008-12-10 Created: 2008-12-10 Last updated: 2014-05-30Bibliographically approved

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CiteExportLink to record
Permanent link

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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