Abstract
As we become more and more algorithmic subjects, algorithms shape the news we access, our political and social views, how and what we buy, as well as the emotional tenor of our lives. Tracking how algorithms work on and with our senses and activate our bodies in different ways requires experimental approaches. To explore affect, algorithms, and method, we work/think/play via two reassemblages of algorithmic tools borrowed from the corporate and art worlds: Moodlens and the Listening Machine. Our algorithmic play with educational reformers’ images and tweets suggests a strategy for fattening our methods and theories to respond to ever-increasing data flows and thinking additively, fractally, and exponentially.
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