Premier League Social Media Rankings 2018

Newton Insight’s Social Network Rankings is the most complete and authoritative analysis of the performance of the English Premier League clubs in global social networks. The report is a reference for clubs to assess their performance and competitiveness across different social networks. For sponsors and marketers, the results highlight how much value social networks are adding to the global fan base of the Premier League. Newton Insight’s report is essential reading for anyone with an interest in the business of football and the role social media will play in building its future. What's included? 70-page illustrated report Full

12-months results Detailed performance analysis of all 20 Premier League clubs on Facebook, Twitter, Instagram, YouTube and Weibo 12-page Executive Summary highlights key trends for clubs, supporters, sponsors and media owners, including: How the clubs are extending their reach and engagement How global fanbases are engaging Manchester United’s decision to join YouTube The growing influence of Twitter in sport The outlook for growth in the US Spotlight on club performance in China Dedicated tables and charts for each social network, with detailed performance data for each club Individual profile pages for the 20 Premier League clubs To discuss the report and… read more »

When we issued new research on the UK's Brexit mood last week, the folks over on Reddit asked us a question: Are people who discuss Brexit generally more critical in their outlook, or are their feelings 100% influenced by Brexit? We revisited our data and ran some additional analysis to examine the mood of the UK public and Brexit authors both before and after the referendum.

Last week we published stats on Brexit and the mood of the UK public, measured by their engagement on Twitter. The findings were based on a sample of 4 million people (approximately one-tenth of the total UK electorate, or one-quarter of active Twitter users in the UK). The study period covered January 2016 to May 2018, so we captured data for the pre-referendum period and for all subsequent points in the UK’s Brexit journey. The research was conducted in two stages; a random sample of four million individual accounts on any topic, and a more focused

sample of people who discuss Brexit. The initial wave of random sampling was designed to find a norm for general levels of contentment within the UK Twitter population. No topics were predefined for the sampling; people only needed to be an active user of Twitter. It didn’t matter what they were doing, we only analysed how they were feeling. The second wave of sampling focused on 150k people who had commented on Brexit at any point since January 2016. We examined the emotional expression of Brexit Authors in two stages. We measured their reactions to any topic and then we isolated their… read more »