• Corpus ID: 13626864

Predicting Depression via Social Media

@inproceedings{Choudhury2013PredictingDV,
  title={Predicting Depression via Social Media},
  author={Munmun De Choudhury and Michael Gamon and Scott Counts and Eric Horvitz},
  booktitle={ICWSM},
  year={2013}
}
Major depression constitutes a serious challenge in personal and public health. [] Key Method 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 over a year preceding the onset of depression, we measure behavioral attributes relating to social engagement, emotion, language and linguistic styles, ego network, and mentions of antidepressant medications.

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