Semantic analysis shows that ‘Brexit’, ‘UK’ and ‘Single Market’ were the most prevalent keywords used soteu
This morning, Jean-Claude Juncker, President of the European Commission delivered the annual State of the European Union speech. It’s intention is to inform Europeans where the EU currently is and where it will go in the coming months.
The graph shows the timeline of the speech and where the volume of tweets hit their cruising speed. The peaks correspond to the different announcements made by Mr Juncker and the reaction to them. Because the tweet rate decreased shortly after each announcement was made, it shows that the discussions are mostly held by journalists.
Disclaimer : Only tweets in English and French were analysed in this section
Regarding the overall number of mentions through articles and tweets, we notice that there is a significant representation of the Brexit issue. Other than Brexit, the keywords are mainly neutral. Following the theme of the Brexit issue, let’s focus on what the keywords in the UK were:
At the end of the speech, here were the Top 5 Tweets, ranked by number of RTs :
There were more men commenting and reacting to the State of the Union than women.
Unsurprisingly, journalists, people engaged and interested in politics as well as business are well represented.
At a national level, we can see there were significantly more participants taking part from the United Kingdom, followed by Belgium and France.
Jean-Claude Juncker’s speech has been mainly shared and commented within the European bubble, with, this year, a British influence mainly because of Brexit. As Mr Juncker recalled it, one of Europe’s difficulty is to deliver a positive image at national and local levels. We can see through Marine Le Pen’s tweets that national stakeholders have a lot more visibility than the European ones. This is also verified through the presence of other local stakeholders such as accounts related to the Spanish far-left.
This study has been done with Brandwatch (gathering all social medias and news websites) and Visibrain (only Twitter)
Every tool is mentioned on every chart legend.
Thanks to Tony O’Brien for english proofreading.