Algorithm Deduces Drunk Tweets From Geolocation, Behavioral Data (thestack.com)

An anonymous reader writes: Researchers have devised an algorithm for identifying people who post on Twitter while drunk at home, using both geolocation tags and behavioral data. The researchers analysed alcohol-related tweets from New York City and Rochester, and found that the tweeting drinkers in Monroe were likelier to be out of their houses than New Yorkers. The scientists concluded that the model could reveal important real-time information for public health research — creating a tool for improving a community's health, and using social media as a resource to spread positive health behavior.

Comments

Big Brother is watching your liquor cabinet

[JaredOfEuropa]

using social media as a resource to spread positive health behavior.

In other words, a resource for insurers to screw you for drinking "at home and/or at inappropriate hours", and for employers to give you a bollocking over the same.