Predicting Depression via Social Media

  title={Predicting Depression via Social Media},
  author={Munmun De Choudhury and Michael Gamon and Scott Counts and Eric Horvitz},
Major depression constitutes a serious challenge in personal and public health. Tens of millions of people each year suffer from depression and only a fraction receives adequate treatment. We explore the potential to use social media to detect and diagnose major depressive disorder in individuals. We first employ crowdsourcing to compile a set of Twitter users who report being diagnosed with clinical depression, based on a standard psychometric instrument. Through their social media postings… CONTINUE READING
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