TWITTER NOISE MACHINE
Twitter Noise Machine is an application designed in Max/MSP that creates evolving audio / visual content based on information from real-time Twitter feeds controlling a granular sample playback program with a simultaneous video display of the feeds and relevant images directly downloaded from Google.
The application searches Twitter for any "tweets" containing the keywords Noise, Sound and Music and displays them whilst information from the text in the feed (converted from ASCII to numeric values) creates an ever evolving audio accompaniment, that can be left to run without any further intervention.
The final application is intended to be part of a 5.1 surround sound installation for projection within a public space that highlights the amount of communication and information that flows through social network sites, and how much of this is actually "noise" to 99% of the population.
The videos shown here represent the prototype of the project on a desktop computer. The final version will be larger in scale using three projectors within a gallery or public space
