Cracking The Code On Trump Tweets

jIyajbe writes: From Electoral-Vote.com: “A theory has been circulating that the Donald Trump tweets that come from an Android device are from the candidate himself, while the ones that come from an iPhone are the work of his staff. David Robinson, a data scientist who works for Stack Overflow, decided to test the theory. His conclusion: It’s absolutely correct. Robinson used some very sophisticated algorithms to analyze roughly 1,400 tweets from Trump’s timeline, and demonstrated conclusively that the iPhone tweets are substantively different than the Android tweets. The former tend to come later at night, and are vastly more likely to incorporate hashtags, images, and links. The latter tend to come in the morning, and are much more likely to be copied and pasted from other people’s tweets. In terms of word choice, the iPhone tweets tend to be more neutral, with their three most-used phrases being ‘join,’ ‘#trump2016,’ and ‘#makeamericagreatagain.’ The Android tweets tend to be more emotionally charged, with their three most-used phrases being ‘badly,’ ‘crazy,’ and ‘weak.'”

reifman adds: In an excellent forensic text analysis of Trump’s tweets with the Twitter API, data geek David Robinson demonstrates Trump authors his angriest, picture-less, hashtag-less Android tweets often in the morning, while staff tweet from an iPhone with pictures, hashtags and greater joy mostly in the middle of the day. Robinson’s report was inspired by a tweet by artist Todd Vaziri. As for why Robinson decided to look into Trump’s tweets, he told TIME, “For me it’s more about finding a really interesting story, a case where people suspect something, but don’t have the data to back it up. For me it was much more about putting some quantitive details to this story that has been going around than it was about proving something about Trump’s campaign.”


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