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Towards Politicized Tabloid News Online?: A Methodological Assessment of the Spreading of Online News
Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013).ORCID iD: 0000-0003-4286-7764
Mid Sweden University, Faculty of Science, Technology and Media, Department of Media and Communication Science. Nordicom.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Media and Communication Science.ORCID iD: 0000-0003-3015-7423
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Sharing has emerged as a keyword in the contemporary media landscape in the last decade. For journalism and the news industry sharing is viewed as both a threat and possibility as it enables greater reach but also less control. So far research has not to a great extent been able to show what kind of news stories that goes viral and there is also a lack of methodological discussions about how to measure shared news and what results different approaches provide. Results from this study show that politics is the most commonly spread news topic and that news sites with a tabloid background are the most successful media forms in encouraging spreading and interaction of news stories. The study also shows that different methodological starting points – starting at the news sites themselves or an aggregator – provides results that both overlap and differentiate.

Place, publisher, year, edition, pages
2017.
Keywords [en]
sharing, quantitative content analysis, social media, viral news, Sweden
National Category
Media and Communications
Research subject
Media and Communication Studies
Identifiers
URN: urn:nbn:se:miun:diva-32173OAI: oai:DiVA.org:miun-32173DiVA, id: diva2:1160779
Conference
International Communication Association 2017
Available from: 2017-06-27 Created: 2017-11-28 Last updated: 2025-02-07Bibliographically approved

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Ödmark, Sara

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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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