This is the sound America made for Trump
Mapping the conversation on social media.
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Donald Trump has been elected as the 45th President of the United States of America and the surprising outcome was reflected on social media.
We used a tool called Tarsier that uses machine learning to analyse the conversation around the US elections. We analysed thousands of tweets from November 7 to November 9 (result day).
What we found out was that people were more positive than negative about the candidates on Twitter, something quite rare in the last four months of campaign. Also noticeable was the fact that Trump had a better sentiment among users than Clinton (something that has been happening for a while).
If you compare this to the general sentiment on Twitter a month ago, Trump has come a long way and the sentiment around him has improved:
Crazy, right? Wait for more craziness.
In the last few days, Donald Trump received good wishes from Americans mentioning, "Make America Great Again", "God bless America", and "God bless @realdonaldtrump", to name a few.
After collecting the data of tweets with negative, positive and neutral sentiments from November 7 to November 9, we found a lot of ups and downs (crest and trough clearly visible in the graph).November 8: Candidate sentiment over time. November 9: Candidate sentiment over time.
But wait, did you ever wonder how are sentiments best described? You guessed it right: Sound.
Imagine a sad scene from a film, and your brain automatically looks out for sad music; for action scenes, a little fast-paced background score, right?
We mapped the sentiments reflected in tweets in sound through data sonification and this is what it sounds like.