On August 6, artist Todd Vaziri observed that all of Trump's angry tweets come from the Twitter client for Android, while the more presidential, less batshit ones come from an Iphone; Vaziri speculated that the latter were sent by a staffer.
Now, David Robinson's textual analysis of the two different corpuses show that different people are behind each client's tweets -- they tweet at different times, using different syntax and vocabulary, and they use different hashtags and use them differently.
Thus, Trump’s Android account uses about 40-80% more words related to disgust, sadness, fear, anger, and other “negative” sentiments than the iPhone account does. (The positive emotions weren’t different to a statistically significant extent).
We’re especially interested in which words drove this different in sentiment. Let’s consider the words with the largest changes within each category:
This confirms that lots of words annotated as negative sentiments (with a few exceptions like “crime” and “terrorist”) are more common in Trump’s Android tweets than the campaign’s iPhone tweets.
Text analysis of Trump's tweets confirms he writes only the (angrier) Android half [David Robinson/Variance Explained]
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