Eichstaedt and team proceeded to examine how often
people with depression used these markers, compared with controls.
Eventually the hope is that you could directly funnel
people it identifies into scalable treatment modalities," Eichstaedt continues.
With surprisingly similar methods to those used in genomics,
we can comb social media data to find these markers,” Eichstaedt explains.
Eichstaedt and colleagues analyzed data from almost 1,200
people who agreed to provide their Facebook status updates and their electronic medical records.
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.
In total, Eichstaedt[author of teh study] and colleagues analyzed 524,292
Facebook status updates from both people who had a history of depression and from those who did not.