Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume 12, Issue 4, Pages 4363-4375Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-019-01273-7
Keywords
Political events; Event study; Information diffusion; Social network analysis; Twitter; Brexit
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The social media debate preceding the 2016 Brexit referendum highlights the increasing role of social networking sites in shaping socio-political processes. This study uses event study analysis and data mining to analyze the impact of non-virtual political events on social media users' perspectives on Brexit. The findings suggest that social networking sites play a crucial role in information diffusion and user behavior.
The social media debate preceding the 2016 Brexit referendum represents a yet another instance of the growing role of social networking sites, also known as social media, in steering the dynamics of the socio-political process nowadays. Considering the scale of the phenomenon as well as the variety of concerns it raises vis-a-vis transparency, equality, representation, and legitimacy of the political process, it is imperative to query the mechanisms behind the relationship that unfolds between social media, their users and the political process. To do this, this paper employs event study analysis and recent advances in data mining and data analysis to examine how certain non-virtual political events constituent of the Brexit debate had been played out in the social media realm and influenced the social media users' stance toward the very question of Brexit. This composite methodological approach that this study adopts allows to measure how non-virtual political events influenced the network of users who discussed the withdrawal of the UK from the EU in Twitter in the weeks prior to the Brexit referendum. The outcomes of this study suggest that social networking sites play a pivotal role not only on how information is diffused over the network but also on user's message creation, dissemination behaviour and the shape of the social network itself.
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