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1.	Norén, Fredrik (författare) Information som lösning, information som problem : En digital läsning av tusentals statliga utredningar 2016 Ingår i: Nordicom Information. - : Nordicom. - 0349-5949. ; 38:3, s. 9-26 Tidskriftsartikel (refereegranskat)abstract 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.

Norén, Fredrik (författare)
Information som lösning, information som problem : En digital läsning av tusentals statliga utredningar
2016
Ingår i: Nordicom Information. - : Nordicom. - 0349-5949. ; 38:3, s. 9-26
Tidskriftsartikel (refereegranskat)abstract
- 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.

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