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.
How was MAX used?
MaxMSP is the driving force behind this project, right from jitter objects to download the twitter data, through to oscillators, controls, GUI, and an OpenSoundControl implementation. This experimental synthesiser wouldn't be here if it wasn't for MaxMSP.