Digital Conversation and Hierarchical Clusters around Brexit in Spain and the United Kingdom


The Brexit is an issue that is attracting the interest of the media for the historical consequences it may have for Europe. Every day there is news about the negotiations between London and Brussels to manage the exit of the United Kingdom from the European Union. According to a study carried out by the Reuters Institute for the Study of Journalism of the University of Oxford together with the consultancy PRIME Research, in many countries, the media have adopted a neutral position when reporting on the Brexit negotiations. However, the results of the study reflect that the Spanish media showed a position contrary to the separation, unlike the British press that played an important role in the triumph of Brexit (Gómez, 2017).

This research is based on an analysis of social networks around Brexit (Polonski, 2016). It focuses on the discourse analysis and studies the tweets and responses about the departure of the United Kingdom from the European Union published in that country respectively and in Spain in the last few months in which a large part of the speeches has been created on the Brexit. This work uses the DMI-TCAT software for the extraction of tweets (Borra and Raider, 2014), and leaves aside the structural analysis of networks and is oriented towards a hierarchical clusters research – method of analysis of specific groups- which seeks to build a hierarchy of groups and leaders to identify them.

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