Glastonbury 2016: Social Insights After the Festival
This year Glastonbury played host to headliners Muse, Adele and Coldplay. Not everyone was happy. How did Twitter react during the festival?
The DigitasLBi data team has been analysing the social data around Glastonbury 2016 to find out what emotions were unleashed on Twitter when the three headline acts took to the stage. They’ve also been digging through the data to find the emojis most associated with each artist. We’ve summarised the key findings below.
1) Total number of tweets
Pyramid Stage Headline acts (tweet volume with RTs)
Other Stage Headline acts (tweet volume with RTs)
- New Order 1,350
- Disclosure 1,283
- LCD Soundsystem 263
West Holts Stage Headline acts (tweet volume with RTs)
- Underworld 1,239
- Earth Wind & Fire 542
- James Blake 431
2) Sentiment analysis of the three headline acts
Muse inspired the most anger and disgust on Twitter
- 6.4% of tweets about Muse expressed anger (compared to 3.7% for Adele and only 1.8% for Coldplay).
- 3.8% of tweets about Muse expressed disgust (compared to 2.1% for Adele and 2.5% for Coldplay).
Adele inspired the most love on Twitter
- 25.8% of tweets about Adele expressed love (compared to 14.8% for Muse and 13.9% for Coldplay).
Coldplay inspired the most happiness on Twitter
- 80.8% of tweets about Coldplay expressed happiness (compared to 67.4% for Muse and 65.6% for Adele).
3) Most used emojis (combined)
4) Most used emojis (by artist)
We analysed tweets between the period of 21st of June to 27th of June 2016. The tweets featured any of the following hashtags related to the festival – #glastonbury, #glastonbury2016, #glasto2016, #glasto, #glastonburyfestival, #glastofest, mentions of @glasto – and the artists in the analysis. We excluded users who had a following or followed more than 1,000 other users.
In the emotions analysis, we extracted a randomised sample of 5,000 tweets per act/artist during the same period, retweets were excluded. In the emojis analysis, we excluded emojis that were duplicates of each other in the same tweet.