The aim of this study is to critically analyze how the news media in Sweden reported about Folk och Försvar’s conference 2024 on TikTok. Considering the platform’s young audience, this will make it apparent how journalism for children can be constructed. Critical discourse theory, system functional grammar and sociosemiotics are used as a theoretical framework. The method used is Multimodal Critical Discourse Analysis and the material is collected from six national news channels that published about the event on TikTok. By analyzing the language and visual elements used, the result of the thesis shows which discourses were conveyed in the reporting. The main findings were five different discourses that were compiled into two more general discourses. One of them strengthens the threat of a military war in Sweden, while the other one defuses and problematizes the statement from the Swedish armed forces. The first one was more common in the commercially financed news media, whereas the second was found in public service media. The conclusion furthermore indicates that public service adjusts their journalism more to align with the young audience on TikTok. The critical discourse analysis showed that depending on which discourse was used, different messages were communicated to the audience. This contributes to a power imbalance between the journalists and the children, especially considering young children have not fully developed critical thinking. The news media that claim to be aimed towards Sweden's entire population, does not however consistently take children into account.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-532565 |
| Date | January 2024 |
| Creators | Åstrand, Sara, Lewerin, Ellen |
| Publisher | Uppsala universitet, Institutionen för informatik och media |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0019 seconds