(credit: Richard Riley)
Maybe the one single thing more regrettable than drunk texting is drunk tweeting. Publicly broadcasting intoxication is definitely not the best way to bolster one’s social media clout, and yet a lot of people can't resist boasting about their alcoholic escapades. Researchers have now trained an algorithm to spot alcohol-related tweets, and even to guess if the tweeter was drinking at the time of posting.
Nabil Hossain at the University of Rochester, upstate New York, decided to combine Twitter and machine learning to keep track of alcohol use across a given community.
To do that, he and his team collected thousands of geotagged posts tweeted between July 2013 and July 2014 in New York state, and then winnowed them down to tweets containing booze-related keywords (ranging from “beer keg” to “shitfaced").
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