The Politics of Eurovision: A Case Study of the United Kingdom’s 2021 and 2022 Participations as Expressed on Social Media

Author:

García-Gámez MaríaORCID,Moreno-Ortiz AntonioORCID

Abstract

In recent years, the opinion that the Eurovision Song Contest has become highly politicised is prevalent in the media and the popular voice, although not much research exists that can attest to this claim. In this work we conduct a case study that applies sentiment and discourse analysis methodologies to the assessment of political opinions in social media regarding this artistic and social event. The main objective is to explore to what extent and in what form this supposed politicisation has an expression on Twitter, as illustrated by the cases of artists Sam Ryder and James Newman, the United Kingdom’s representatives in the 2022 and 2021 editions of the contest, respectively. We examine references to two historical-political contexts that have had a severe impact on the European society over the last few years, and which have determined, among many other social aspects, the reception of Eurovision results ever since they took place: Brexit and the Russian invasion of Ukraine.

Funder

Ministerio de Ciencia e Innovación

Ministerio de Educación y Formación Profesional

Publisher

Universitat Politecnica de Valencia

Reference45 articles.

1. Adejobi, A. (2022, May 15). Piers Morgan claims Ukraine won Eurovision on 'sympathy vote' in scathing takedown of 'rigged' song contest. Metro. https://metro.co.uk/2022/05/15/piers-morgan-claims-ukraine-woneurovision-on-sympathy-vote-amid-war-16646779/ [retrieved: 01.11.2022]

2. Artstein, R., & Poesio, M. (2008). "Inter-coder agreement for computational linguistics", Computational Linguistics 34/4, 555-596. https://doi.org/10.1162/coli.07-034-R2

3. Begley, C. (2003, May 25). UK humiliated in Eurovision 'post-Iraq backlash'. The Independent. https://www.independent.co.uk/news/media/uk-humiliated-in-eurovision-postiraq-backlash-106132.html [retrieved: 06.01.2024]

4. Benamara, F., Taboada, M., & Mathieu, Y. (2017). "Evaluative language beyond bags of words: Linguistic insights and computational applications", Computational Linguistics 43/1, 201-264. https://doi.org/10.1162/COLI_a_00278

5. Blangiardo, M., & Baio, G. (2014). "Evidence of bias in the Eurovision song contest: Modelling the votes using Bayesian hierarchical models". Journal of Applied Statistics 41/10, 2312-2322. https://doi.org/10.1080/02664763.2014.909792

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