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Information som lösning, information som problem: En digital läsning av tusentals statliga utredningar
Umeå University, Faculty of Arts, Department of culture and media studies. Umeå University, Faculty of Arts, Humlab.ORCID iD: 0000-0001-8820-1082
2016 (Swedish)In: Nordicom Information, ISSN 0349-5949, Vol. 38, no 3, p. 9-26Article in journal (Refereed) Published
Abstract [en]

This article investigates how the Swedish information politics emerged in the twentieth century by analysing thousands of Swedish Governmental Official Reports (8000 reports since 1922). By using methods such as topic modelling with LDA/MALLET, the result shows that a governmental information discourse arose in the 1960s, infiltrating a growing number of political interests, and that the content of the discourse has changed over time.

One important conclusion highlights digital text methods as a more inductive way of doing content analysis than is commonly practised in media and communication studies. A machine can find patterns in texts that no single person could read in a lifetime. Furthermore, the quantitative approach can generate results that problematise previous – qualitative – research. Digital and quantitative analysis of a huge corpora does not neglect close reading; on the contrary this study shows the necessity of bridging both methods in order to better understand the results.

Place, publisher, year, edition, pages
2016. Vol. 38, no 3, p. 9-26
Keywords [en]
information politics, topic modeling, digital methods, Swedish governmental official reports
National Category
Media and Communications
Research subject
medie- och kommunikationsvetenskap
Identifiers
URN: urn:nbn:se:umu:diva-142786OAI: oai:DiVA.org:umu-142786DiVA, id: diva2:1164737
Available from: 2017-12-11 Created: 2017-12-11 Last updated: 2018-06-09Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
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