The Truth behind the Brexit Vote: Clearing away Illusion after Two Years of Confusion

Sae Won Chung and Yongmin Kim
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Sae Won Chung: Graduate School of International Studies, Korea University, Seoul 02841, Korea
Yongmin Kim: KU China Institute, Konkuk University, Seoul 05029, Korea

Sustainability, 2019, vol. 11, issue 19, 1-16

Abstract: Since the referendum in 2016, Brexit has become the most controversial conundrum in the UK. This study aimed to revisit this issue by focusing on the communicative patterns of Brexit-related parties (the Conservatives, Labour, and UK Independence Party). Firstly, it attempted to provide the conceptual backgrounds of Brexit by explaining its development process from Cameron’s pledge of an in/out referendum to the present. Subsequently, it reviewed empirical studies on Brexit in diverse areas of social science. Most empirical studies point out that British political practitioners’ perceptions about Brexit were the root cause, but they were not able to provide an overview of these perceptions. The novelty of this study lies in examining the patterns of these perceptions by focusing on communicative framings embedded in the posts created in their official Facebook pages from the date of the referendum to that of the Brexit withdrawal agreement. To extract these framings, this study adopted an automated semantic network analysis geared by NodeXL—software for data collection and visualisation. The results show that these parties emphasised that they were the only legitimate political party to solve the Brexit crisis without providing concrete solutions or measures. These parties’ ill-founded communications endanger sustainable social media communications and interactions in the UK. Hence, it is vital to establish a more reliable fact-checking information-sharing system between the political elite and the general public.

Keywords: Brexit; semantic network analysis; framing; political communication; social media; British politics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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