There is an increase in Euroscepticism among EU citizens nowadays, as shown by the development of the ultra-nationalist parties among the European states. The public opinion on the European Union membership is divided in two as shown by the British referendum in 2016, where citizens chose to “exit” shaking the public opinion, and the following general election in June 2017, where the British Europeanist parties won the election according to the 1975 British referendum where 72% of citizens chose to “Remain”. There are still few studies concerning the investigation of Brexit discourses within the social media and most of them focus on the 2016 British referendum. Due to that, this exploratory research aims to identify how Brexit and the EU are discussed about on Twitter nowadays through a text mining approach. We collected all the tweets containing the term “Brexit” and “EU” for 10 days. Data collection has been performed with TwitteR of R Statistics and results in a large corpus of hundred thousand tokens to which we applied multivariate techniques in order to identify the contents and the sentiments behind the shared comments.
Brexit and Twitter: The voice of people / Greco, Francesca; Alaimo, LEONARDO SALVATORE; Celardo, Livia. - 1:(2018), pp. 327-334. (Intervento presentato al convegno JADT 2018, 14th International Conference on statistical analysis of textual data tenutosi a Rome).
Brexit and Twitter: The voice of people
Francesca Greco;Leonardo Alaimo;Livia Celardo
2018
Abstract
There is an increase in Euroscepticism among EU citizens nowadays, as shown by the development of the ultra-nationalist parties among the European states. The public opinion on the European Union membership is divided in two as shown by the British referendum in 2016, where citizens chose to “exit” shaking the public opinion, and the following general election in June 2017, where the British Europeanist parties won the election according to the 1975 British referendum where 72% of citizens chose to “Remain”. There are still few studies concerning the investigation of Brexit discourses within the social media and most of them focus on the 2016 British referendum. Due to that, this exploratory research aims to identify how Brexit and the EU are discussed about on Twitter nowadays through a text mining approach. We collected all the tweets containing the term “Brexit” and “EU” for 10 days. Data collection has been performed with TwitteR of R Statistics and results in a large corpus of hundred thousand tokens to which we applied multivariate techniques in order to identify the contents and the sentiments behind the shared comments.File | Dimensione | Formato | |
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