Data Analysis


Brexit and Twitter: a tale of two campaigns


Our results show that the Leave battlefield was more populated in the Twitter debate on the referendum. Contents, slogans and hashtags pertaining to this side have been more actively propagated and more widely discussed. Our results indicate that even small groups can become “agenda setters”, when acting online in a coordinated and organised fashion, especially in highly polarised debates. 


Corbyn’s EU-turn speech as seen from Twitter


As expected, Corbyn’s pro-EU speech provoked a lot of criticism from the right-wing Brexiteers, conservatives and UKIP supporters. However, a considerable negative reaction also came from leftist Twitter users. We tried to shed some more light on these results by processing the negative tweets through text clustering applications. 


Renzi vs Juncker: a social media analysis


Renzi Vs Juncker_Languages

As with any communications battle, much of the row between Italy and the Commission is taking place in and through the media, including social ones. Here we want to analyse the effects and resonance of this clash in the Twitter sphere. In particular, we focus on the recent war of words between Renzi and Jean-Claude Juncker, triggered by the latter’s critical remarks towards Italy during the Commission’s new year’s press conference. The Renzi-Juncker quarrel is the latest, and certainly one of the most visible episodes in what some have called a new fault line in European politics.


Cameron’s renegotiation speech and intra-Eu migration: how the we reacted (Open Democracy, January 2016)

On November 10, 2015 Britain’s Prime Minister David Cameron held a keynote speech at the Chatham House, launching his proposals for the reform of the European Union – a preliminary step and condition to the referendum on Britain’s stay in the Union, which will be held by 2017.Using natural language processing (NLP) techniques, we have analysed reactions to Cameron’s speech on the micro-blogging platform Twitter.