Bot can spot depressed Twitter users in 9 out of 10 cases

Credit: Pixabay/CC0 Public Domain

A newly developed algorithm can spot depression in Twitter users with 88.39% accuracy. Developed by researchers at Brunel University London and the University of Leicester, the algorithm determines someone’s mental state by extracting and analyzing 38 data points from their public Twitter profile, including the content of their posts, their posting times, and the other users in their social circle.

The research team say similar systems could have a range of different uses in the future across multiple platforms, such as early depression diagnosis, employment screening or police investigations.
“We tested the algorithm on two large databases …

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