- Terms predicting voting preference include ‘lying,’ ‘illegal,’ ‘humanity,’ ‘rights’
- Accuracy of voter preference is 80 percent
- TweetCast algorithm focuses on words, hashtags, tagged usernames, websites
EVANSTON - What you tweet says a lot about your politics and who you are going to vote for in this highly volatile presidential election, according to TweetCast, an online tool developed by Northwestern University computer scientists.
The algorithm, trained on Twitter users, can predict whether citizens will vote for Donald Trump or Hillary Clinton. Perhaps more surprising, the tool also predicts which states will go blue or red (Democrat or Republican).
Tweeting the words “lying,” “liberal,” “illegal” and “money,” for example, indicates a vote for Trump. Using the words “single,” “humanity,” “rights” and “y’all,” on the other hand, predicts a vote for Clinton.
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