For more information: http://tinyurl.com/twinthesis
The idea behind twinthesis was to explore the ‘sound’ of twitter, to harness the potential of the human randomness being generated on the service. Twitter has over hundreds of millions of users world wide, a figure which is expanding at a rate of about 300,000 users a day. These users are submitting on average around 90 Million tweets per day. There is a huge amount of data there, ready to be sonified, and turned into audio.
Twinthesis is a MaxMSP based patch, that extracts the most recent public tweet, and deconstructs that information in order to generate sound. Several pieces of data can be taken directly from the tweet, including the length of the tweet, and the actual letters within the tweet itself.