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Olika bilder av verkligheten : En kvantitativ innehållsanalys av hur FIFA och Amnesty gestaltar fotbolls-VM i Qatar 2022 på Twitter / Different perceptions of reality : A quantitative content analysis of how FIFA and Amnesty portray the football World Cup in Qatar 2022 on Twitter

The purpose of this study is to examine how FIFA and Amnesty portray the football World Cup in Qatar 2022 differently on their respective Twitter accounts. For context, the topic regarding Qatar being granted to host the World Cup has been a heated discussion ever since its inception in 2010 when FIFA officially announced it for the first time. Common arguments against the decision were usually about Qatar not having any prior record of a “football culture” as well as there being accusations of them buying their way into becoming a host nation. Qatar later also came under fire after sources showed evidence that the country imposed “slave-like” conditions on migrant workers building their cities and football arenas, with reports estimating 6,500 migrant worker deaths in the country since 2010. Knowing this information surrounding the World Cup 2022, this study aims to quantitatively analyse the differences in content and framings published on Twitter by FIFA, the organization running the event, and Amnesty, a non-governmental organization focused on human rights. Framing theory and agenda-setting theory were used as tools to examine 150 tweets under the time period spanning from December 2, 2010 to November 20, 2022. The findings of the analysis show dominatingly negative tweets from Amnesty regarding the World Cup, whereas FIFA have remained neutral but mostly positive. The results of the analysis also show signs of sportswashing being a contributing factor in the different framings of the World Cup between the accounts.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-120443
Date January 2023
CreatorsAlbinsson, Fabian, Löfling, Oscar
PublisherLinnéuniversitetet, Institutionen för medier och journalistik (MJ)
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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