I used SDL SM2 to examine the story behind the social media data of this year’s Eurovision Song Contest. As you can see, as pre-show favourites, Sweden held a great deal of the volume of conversation and the nature of that online chatter was extremely positive. The United Kingdom’s entry faired poorly in the final event standings and this is reflected in the minimal level of chatter it generated online. Englebert’s highest sentiment score was recorded 30 minutes before he crooned a single note. Jedward rode the wave of emotions with their performance falling flat with viewers with a disposition to Tweet along with the televisual feast. You can see that negative sentiment outweighed positive as the points began to come in. If you would like to know more about this piece of social data research, just ask. You can see me talk in greater detail about this at the forthcoming #SoConBuzz social media conference.

1. Some people host parties, others get dressed-up, thousands of
you take to the social networks!
SDL’s Social Intelligence Division prefer to get ‘sentimental’ about
the Eurovision Song Contest…
350
Aggregate Sentiment 300
250
200
SHOW
SHOW STARTS
UK PERFORM IRELAND ENDS
150 SWEDEN POINTS SWEDEN
PERFORM
PERFORM AWARDED WIN
100
50
0
19:30
20:00
20:30
21:00
21:30
22:00
22:30
23:00
23:30
-50
..We recorded the social data behind the performances of three
key acts over the period of the show using SDL SM2.
Look how the time of the performance and online reactions tell
the story of the event through the aggregate sentiment data.
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