‘Twitter’ is used as a space for conveying thought and emotion through personal messages on the Internet. These thoughts / tweets are sometimes positive and sometimes negative.
What if you could use these random emotions and feelings to generate music through bird song?
I attempted to parse through a live Twitter stream, looking for specific words (or combinations) which could be related to positivity or negativity of a tweet.
Comparing and analyzing this data (gathered every few seconds) I tried to calculate the ‘mood’ of twitter. This value for mood is continually mapped onto a linear scale ranging from the negative to positive.
By attaching bird songs to each integer of the scale I could then trigger, for example, the melodious song of a Blackbird for a positive emotion and the cackle of geese for a negative emotion.
What results is a menagerie of bird songs which are triggered, essentially, by random tweets.
(all the code for analysis is written in ‘Processing’ and the resulting song is heard through a speaker hidden in the birdbox)
So perk up your ears and listen to the birds, singing to the swinging moods of Twitter.
This project was an installation at the exhibition of 'Generative design' held on the 25th of February 2011 at the Copenhagen Institute of Interaction Design.
Part of the 'Computational Design course' conducted by Dennis Paul and Patrick Kochlik of 'The Product' [the-product.org]
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