Detecting depression and mental illness on social media: an integrative review

@article{Guntuku2017DetectingDA,
  title={Detecting depression and mental illness on social media: an integrative review},
  author={Sharath Chandra Guntuku and D. Yaden and Margaret L. Kern and L. Ungar and J. Eichstaedt},
  journal={Current Opinion in Behavioral Sciences},
  year={2017},
  volume={18},
  pages={43-49}
}
Although rates of diagnosing mental illness have improved over the past few decades, many cases remain undetected. [...] Key Method Mentally ill users have been identified using screening surveys, their public sharing of a diagnosis on Twitter, or by their membership in an online forum, and they were distinguishable from control users by patterns in their language and online activity. Automated detection methods may help to identify depressed or otherwise at-risk individuals through the large-scale passive…Expand
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