Researchers from the University of Rochester developed a machine-learning algorithm that is able to spot drunken tweets. Researchers were able to do this by first collecting geo-located tweets from New York City and Monroe County in the state of New York and then filtering out tweets that contained alcohol-related words like “drunk,” “beer,” and “party.”

Researchers then teamed up with Amazon’s Mechanical Turk crowdsourcing service to analyze some 11,000 alcohol-related tweets. The researchers were able to distinguish whether the person was just tweeting about alcohol, or was actually drinking while tweeting.

Researchers were then able to pinpoint whether these people were tweeting from home, or within 100 meters of home, with 80% accuracy.