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Differential ability of network and natural language information on social media to predict interpersonal and mental health traits.

Kazuma MoriMasahiko Haruno
Published in: Journal of personality (2020)
These results reveal that the different types of SNS information can collectivity predict wider human traits and attributes than previously recognized, and also that each information type has unique predictive strengths for specific traits and attributes, suggesting that personality prediction from SNS is a powerful tool for both personality psychology and information technology.
Keyphrases
  • social media
  • health information
  • genome wide
  • mental health
  • endothelial cells
  • healthcare
  • gene expression
  • single cell
  • mental illness