Researchers report links between the prevalence of language indicating sadness, loneliness, hostility, self-reference, and rumination in Facebook users' posts and subsequent diagnosis of depression in the users' medical records, based on analyses of Facebook status histories and electronic medical records of 683 consenting patients, around 30 years of age, at a large, urban, academic emergency department.
Article #18-02331: "Facebook language predicts depression in medical records," by Johannes C. Eichstaedt et al.
MEDIA CONTACT: Johannes C. Eichstaedt, University of Pennsylvania, Philadelphia, PA; tel: 773-319-7249; e-mail: johannes.penn@gmail.com
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Proceedings of the National Academy of Sciences