Eichstaedt and team proceeded to examine how often
people with depression used these markers, compared with controls.
0
2
Eventually the hope is that you could directly funnel
people it identifies into scalable treatment modalities," Eichstaedt continues.
0
3
With surprisingly similar methods to those used in genomics,
we can comb social media data to find these markers,” Eichstaedt explains.
0
4
Eichstaedt and colleagues analyzed data from almost 1,200
people who agreed to provide their Facebook status updates and their electronic medical records.
0
5
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.
0
6
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.