Using data which was already published by NodeXL, I then examined the EURef hashtag which is impartial as opposed to VoteLeave or VoteRemain: Now lets take a look at the data using which can produce network graphs alongside comprehensive reports which are uploaded to the NodeXL graph gallery. Therefore, it is difficult to attach the Brexit hashtag solely to those whom wish to vote to leave the EU. However, many news articles and general media coverage use this term (see G2 in the NodeXL graph below). Here is a more complicated graph with a number of hashtags compared against each other such as StrongerIn, Brexit, VoteRemain, VoteLeave:Īs the graph above demonstrates, Brexit has been used in over three million instances within the previous month. There are over 900 thousand tweets that contain VoteLeave in comparison to VoteRemain within the last 30 days.This suggests that the VoteLeave campaign is more active on Twitter. I then used the quick trends explorer offered by Visibrain Focus to compare the frequency of the VoteRemain and VoteLeave hashtags.īelow is a time series graph of the hashtags VoteRemain and VoteLeave Using hashtagify I located the most frequently used hashtags associated with #EUref. With such caveats in place let’s look at some recent analysis produced by using different analytic programs. There is also the issue of bots, which are Twitter accounts which tweet in large volumes automatically or look to mimic real users.Twitter also allows members of the public to hold more than one Twitter account, so in theory one user could set up several accounts to post about vote leave or vote remain. Not everyone in the UK uses the Internet, and of those that do use the Internet only a sample of those use Twitter. Twitter is a highly non-uniform sample of the population.However, as an academic looking at this critically, and as having published several papers using Twitter data. I have to state that: There is much buzz around social media and the referendum and I thought I’d delve into some analysis. This will be covered in part 2 of the blog post.įor non-UK readers, the EU referendum is to take place on the on Thursday 23rd June 2016 and the UK will vote either to remain in or leave the European Union. Split is a beautiful city and as I arrived a day earlier and left and day later I had the pleasure to do some sight-seeing, and speak to locals. Below is an image of me with Dr Boze Plazibat, CIET 2016 conference organizer: And for providing a tour of the Department of Professional Studies which hosts state of the art facilities. I would also like to thank the hard work of Dr Boze Plazibat in organising the conference. The workshop marked the first collaboration, in history, between Zagreb University of Applied Sciences, the University of Split, the Information School, University of Sheffield, and one of the largest food company in the world measured by revenues, and ranked within the top 100 on the Fortune Global 500 in 2014. Below is an image of me and Sergej shortly before the workshop: In June 14-18, 2016 as part of the Contemporary Issues in Economy and Technology (CIET) Sergej was able to organise a workshop that I would deliver on Twitter analytics. Three days after the conference on July 10th 2015 the article was published. I kept in touch with Sergej, and he had seen how well my blog post had done receiving thousands of hits and shares. I had submitted a blog post for the LSE impact blog and was unsure whether it would be published, Sergej assured me that they would like the post. I met Sergej Lugovic, from Zagreb University Of Applied Sciences, Croatia at this conference. The key would be the first word of each block.On July 7th, 2015 the Information School ran the iFutures conference (I severed on the committee and operated the social media strategy). My goal is to load this file in an hash table. The file is a lot bigger in reality, these are the last lines. I have a file with the following structure : finance
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