hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Digital politik: En undersökning av politiska facebookgrupper med hjälp av Social Representation Theory (SRT) & kvantitativ innehållsanalys
University of Gävle, Faculty of Education and Business Studies, Department of Humanities, Media and communication studies.
2020 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Sustainable development
Sustainable development according to the University's criteria is not relevant for the essay/thesis
Abstract [sv]

I följande arbete kombineras Social Representation Theory (SRT) med kvantitativ innehållsanalys när politiska facebookgrupper undersöks. Fyra grupper och tolv inlägg och 164 kommentarer undersöks. Den kvantitativa innehållsanalysen visar att samtalsklimatet på politiska facebookgrupper är hårt och ganska elakt. Dessutom präglas grupperna av en viss enhällighet vad gäller åsikter och en av fyra grupper bedöms vara en ekokammare. SRT-analysen undersöker sociala representationer och visar att strategin objektifiering är den som förekommer oftast på politiska facebookgrupper. Objektifiering handlar om att göra det okända känt genom förenklande jämförelser. I exempelvis diskussioner om Sveriges covid-19 strategi så jämförs äldre svenskar med offerlamm i ett försök att kritisera Sveriges covid-19 strategi. Objektifiering förekommer även när socialism som ideologi kritiseras genom att likställas med kommunism. En annan SRT-strategi som förekom ofta var motsats förankring, vilket innebär att grupper ställs mot varandra, som när gruppen papperslösa invandrare (ej att tycka synd om) jämfördes med fattigpensionärer (att tycka synd om).

Abstract [en]

In the following work, Social Representation Theory (SRT) is combined with quantitative content analysis when political Facebook groups are examined. Four groups and twelve posts and 164 comments are examined. The quantitative content analysis shows that the conversational climate on political Facebook groups is harsh and rather nasty. In addition, the groups are characterized by a certain unanimity in terms of opinions and one in four groups is judged an echo chamber. The SRT analysis examines social representations and shows that the objectification strategy is the one that most often occurs on political Facebook groups. Objectification is about making the unknown known through simplifying comparisons. In discussions about Sweden's covid-19 strategy, for example, older Swedes are compared to sacrificial lambs in an attempt to criticize Sweden's covid-19 strategy. Objectification also occurs when socialism as an ideology is criticized by being equated with communism. Another SRT strategy that often occurred was opposing anchoring, which means that groups are pitted against each other, as when the group of undocumented immigrants (not to feel sorry for) was compared to poor pensioners (to feel sorry for).

Place, publisher, year, edition, pages
2020. , p. 52
Keywords [sv]
digital politik, social representation theory, facebook, facebookgrupper, sociala medier, ekokammare
National Category
Media and Communications
Identifiers
URN: urn:nbn:se:hig:diva-33435OAI: oai:DiVA.org:hig-33435DiVA, id: diva2:1463271
Subject / course
Media and communication studies
Educational program
Study Programme in Media and communication
Supervisors
Examiners
Available from: 2020-09-03 Created: 2020-09-01 Last updated: 2025-02-07Bibliographically approved

Open Access in DiVA

fulltext(1230 kB)181 downloads
File information
File name FULLTEXT01.pdfFile size 1230 kBChecksum SHA-512
08278a60b86cb4c5b3bb87bea96161b2b7cbc128365b7ec12bc0a715eaeaf2696d6d4751d556811e7dbec87b2aa4115b8f545170a4add48e598ee2a2d067a556
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Vedmar, Dennis
By organisation
Media and communication studies
Media and Communications

Search outside of DiVA

GoogleGoogle Scholar
Total: 181 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 364 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf