News Finding: Machine learns to diagnose depression better than doctors…based on patients' Instagram photos.
  
Paper Finding: Our results supported Hypothesis , that markers of depression are observable in Instagram user behavior, and Hypothesis , that these depressive signals are detectable in posts made even before the date of first diagnosis.
News Context: Machine learns to diagnose depression better than doctors…based on patients' Instagram photos.
  
Paper Context: The modest positive correlation of human-rated happiness with the presence and number of faces in a photograph was the only exception to this trend. Our results supported Hypothesis , that markers of depression are observable in Instagram user behavior, and Hypothesis , that these depressive signals are detectable in posts made even before the date of first diagnosis. Human ratings proved capable of distinguishing between Instagram posts made by depressed and healthy individuals (Hypothesis a), but showed little or no correlation with most computational features (Hypothesis b).