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Using Facebook to predict depression

 8 months ago       174 Views

New research uses over half a million Facebook status updates to predict depression diagnoses in people at risk.

Researchers, jointly led by Johannes Eichstaedt, founding research scientist at the World Well-Being Project (WWBP) in Philadelphia, PA, and H. Andrew Schwartz, a principal investigator of the WWBP, used an algorithm to analyze social media data from consenting users and picked out linguistic cues that might predict depression.

Johannes Eichstaedt is the first author of the paper.

Then, for every person who had received a diagnosis of depression in their lives, the researchers matched another five controls who had not.

In total, Eichstaedt and colleagues analyzed 524,292 Facebook status updates from both people who had a history of depression and from those who did not.

The updates were collected from the years leading up to a diagnosis of depression and for a similar period for depression-free participants.

Eichstaedt and team proceeded to examine how often people with depression used these markers, compared with controls.


Author: @DailyCupofYoga

Source: medicalnewstoday.com

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