What happens when we ask a machine to look at human communication, without direction? TweetMind grabs tweets matching a certain search term, and attempts to divine their qualities by analyzing the character frequency in the tweets. The viewer observes both the incoming (mostly) human tweets and TweetMind’s progress in constructing its own tweet from the others. Initially, the TweetMind tweet is small, but it evolves as new data is observed, eventually settling on its understanding of the meta-tweet.

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