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Broadcasting achievements: Social media practices of Swedish parties in-between elections through the lens of direct representation
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3). Malmö University, Data Society.ORCID iD: 0000-0002-5097-6218
Department of Communication, FHWien der WKW University of Applied Sciences for Management and Communication, Waehringer Guertel 97, Vienna, 1180, Austria.
Department of Informatics and Media, Uppsala University, Sweden.
2020 (English)In: Journal of Applied Journalism and Media Studies, ISSN 2001-0818, E-ISSN 2049-9531, Vol. 9, no 2, p. 147-168Article in journal (Refereed) Published
Abstract [en]

Inspired by Coleman's call for a more 'direct representation', we address two neglected issues within the field of social media and political communication. We study a nonelection period in Sweden (two randomly selected weeks in early 2016) and conduct a cross-platform comparison. The article is based on content analyses of the four prominent social media platforms: Facebook, Instagram, YouTube and Twitter. We seek to answer the following questions: do parties use social media platforms in-between elections? If so, for what purposes? Do parties use social media to interact in a direct manner with citizens? We focus on three different Swedish parties: the Social Democrats (incumbent), the Feminist Initiative (underdog) and the Sweden Democrats (populist right-wing). Our findings suggest a bleak direct representation in-between elections. Parties are more active on social media platforms during election campaigns. Twitter is the preferred platform, especially by the incumbent party for broadcasting achievements.

Place, publisher, year, edition, pages
Intellect Ltd., 2020. Vol. 9, no 2, p. 147-168
Keywords [en]
content analysis, cross-platform comparison, direct representation, in-between elections, political parties, social media
National Category
Media Studies
Identifiers
URN: urn:nbn:se:mau:diva-17921DOI: 10.1386/ajms_00020_1ISI: 000549240500004Scopus ID: 2-s2.0-85087863491OAI: oai:DiVA.org:mau-17921DiVA, id: diva2:1458147
Available from: 2020-08-14 Created: 2020-08-14 Last updated: 2024-06-17Bibliographically approved

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Citation style
  • apa
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  • Other style
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  • de-DE
  • en-GB
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  • nn-NO
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Output format
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