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DeepDrumpf

Twitter bot creates tweets using neural network analysis on public transcripts of Donald Trump:

Dubbed @DeepDrumpf, after John Oliver’s recent segment about Trump’s ancestral name, the bot creates Tweets one letter at a time. For example, if the bot randomly begins its Tweet with the letter “M,” it is somewhat likely to be followed by an “A,” and then a “K,” and so on until the bot types out Trump’s campaign slogan, “Make America Great Again.” It then starts over for the next sentence and repeats the process until it reaches the 140-character limit.

The Tweetbot’s creator, CSAIL postdoc Bradley Hayes, used techniques from “deep-learning,” a field of artificial intelligence that uses systems called “neural networks” to teach computers to to find patterns on their own. Hayes was inspired by an existing training model that can simulate Shakespeare, as well as a recent report that analyzed the presidential candidates’ linguistic patterns to find that Trump speaks at a fourth-grade level.

“Trump’s language tends to be more simplistic, so I figured that, as a modeling problem, he would be the most manageable candidate to study,” says Hayes.

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