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

Posted by timothy on from the slurred-lines dept.

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.

2 of 51 comments (clear)

  1. Big Brother is watching your liquor cabinet by JaredOfEuropa · · Score: 5, Insightful

    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.

    --
    If construction was anything like programming, an incorrectly fitted lock would bring down the entire building...
  2. Another privacy intrusion by Virtucon · · Score: 3, Insightful

    Buy an intelligent thermostat they said, it'll save money and make you more comfortable they said.
    Now they want to track when I'm anywhere "to help determine if I'm away."

    Now they want to analyze my tweets and use my location data to see where I am?!?!?

    Get the fuck out of my life. I do not want to be a statistic, I do not want to be a data point. Now get off my lawn.

    --
    Harrison's Postulate - "For every action there is an equal and opposite criticism"