Social Media Storytelling company Blurrt have been working on developing a social media score that measures a combination of how many people are talking about something and how strongly they feel about it.

They’ve called this ‘Blurrt Score’ and are running a series of tests to see how it works across lots of different uses. Last weekend they picked the German Grand Prix, collecting all mentions across Twitter of each individual driver, analysing and understanding the content and then turning that into a score.

Here’s how the Top 10 looks:

f1-leaderboard (1)

What this shows is that the top 4 ranked by Blurrt Score were the same as the actual top 4 who finished the race – which you may think would make sense as the better the placing, the more positive the audience response and the higher the volume of posts.

However if you look at the 3rd and 4th place – you can see there is a rather large disparity between the volumes of tweets; with Rosberg not only the second most tweeted about driver overall, but actually having nearly 10,000 more tweets than the 3rd placed Verstappen.

Just as the Blurrt score factors volume into its final output, it also considers the amount of positive and negative sentiment along with the strength of expressed sentiment into the final calculation.

44% of Verstappen’s 8722 tweets collected (so 3872 in total) expressed positive sentiment, whilst only 22% of Rosberg’s 18,241 (4032) did. However there were only 1050 (12%) negative sentiment bearing tweets around Verstappen, but a huge 9868 (54%) around Rosberg.

It’s also worth us pointing out that the average negative sentiment expressed on the scale between -1 to -5 (have a look here to find out more about the sentiment scale) for Rosberg was -2.9, whilst Verstappen’s was only -2.7.

Clearly Rosberg’s very poor start, coupled with the fact he was penalised for forcing Verstappen off the track at one point, was recognised by viewers who took to social media to voice their disappointment and disapproval.

One look at all the emotion bearing tweets for Rosberg tells you everything you need to know as 42.2% were made up of anger! One look at all the emotion bearing tweets for Rosberg tells you everything you need to know with 42.2% expressing anger!

Just making it into the bottom of the Blurrt Score Top 10 is Felipe Massa, who was forced to retire early into the race after first lap contact damaged the car.

The 35 year old veteran clearly has a supportive fan base though, as 19% of the 2,022 tweets collected expressed highly positive sentiment with positive messages to Felipe regardless of the fact he was pulled from the race.
Blurrt also were able to see that 33% of all emotion bearing tweets expressed sadness at the driver’s early exit.

Over 32% of all emotion bearing tweets about Massa displayed sadness. Over 32% of all emotion bearing tweets about Massa displayed sadness.

The full details of the Blurrt Score will soon be added to their website, but if you want to see what else they can do with social media data, the Blurrt website has plenty of case studies to take a look at.

*Tweets were collected over a three hour period on the 31st July between 12:30 and 15:30, corresponding with the live tv coverage on Sky Sports F1. This factored in tweets posted in the immediate pre and post-race coverage.

While you're here...

Did you know that Badger GP has now been running for nearly a decade, and this is only possible with the support of our fans and readers. You can support Badger GP for as little as £10 per year, or be a Champion and gets lots of perks in return. Find out more here, thank you.