Emerging Topics in Brexit Debate on Twitter Around the Deadlines

Emiliano del Gobbo (), Sara Fontanella (), Annalina Sarra () and Lara Fontanella ()
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Emiliano del Gobbo: University “G. d’Annunzio” of Chieti-Pescara
Sara Fontanella: Imperial College London
Annalina Sarra: University “G. d’Annunzio” of Chieti-Pescara
Lara Fontanella: University “G. d’Annunzio” of Chieti-Pescara

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2021, vol. 156, issue 2, No 17, 669-688

Abstract: Abstract The present study is focused on the online debate relating to the Brexit process, three years and half since the historical referendum that has sanctioned the divide of the United Kingdom from the European Union. In our analysis we consider a corpus of approximately 33 million Brexit related tweets, shared on Twitter for 58 weeks, spanning from 31 December 2019 to 9 February 2020. Due to its great accessibility to data, Twitter constitutes a convenient data source to monitor and evaluate a wide variety of topics. In addition, Twitter’s marked orientation towards news and the dissemination of information makes this microblogging network more connected to politics compared to other platforms. Through static and dynamic topic modelling techniques, we were able to identify the topics that have attracted the most attention from Twitters users and to characterise their temporal evolution. The topics retrieved by the static model highlight the major events of the Brexit process while the dynamic analysis recovered the persistent themes of discussion and debate over the entire period.

Keywords: Social media; Twitter data; Brexit; Topic models; Latent Dirichlet Allocation (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11205-020-02442-4

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