What's in Your Tweets? I Know Who You Supported in the UK 2010 General Election

Antoine Boutet · Hyoungshick Kim · Eiko Yoneki

82 citations0/0 files storedProceedings of the International AAAI Conference on Web and Social Media

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Social Media and Politics Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

Abstract

Nowadays, the use of social media such as Twitter is necessary to monitor trends of people on political issues. As a case study, we collected the main stream of Twitter related to the 2010 UK general election during the associated period. We analyse the characteristics of the three main parties in the election. Also, we propose a simple and practical algorithm to identify the political leaning of users using the amount of Twitter messages which seem related to political parties. The experimental results showed that the best-performing classification method -- which uses the number of Twitter messages referring to a particular political party -- achieved about 86% classification accuracy without any training phase.

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References

2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment 2005The political blogosphere and the 2004 U.S. election 2011Political Polarization on Twitter 2021Limits of Electoral Predictions Using Twitter 2021The Party Is Over Here: Structure and Content in the 2010 Election

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2021Quantifying Political Leaning from Tweets and Retweets 2015Twitter-based Election Prediction in the Developing World 2013Politics, sharing and emotion in microblogs 2019Political Popularity Analysis in Social Media 2021Does It Matter Where You Search? Twitter versus Traditional News Media 2012What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!2021Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter 2017Preaching to the choir: ideology and following behaviour in social media

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