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Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders.

Katrin Hänsel1,2,3, Inna Wanyin Lin3, Michael Sobolev1,2,3

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This summary is machine-generated.

Individuals with schizophrenia spectrum disorders (SSD) use Instagram differently, posting less colorful images and fewer faces. These visual and social differences may serve as digital biomarkers for SSD.

Keywords:
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Area of Science:

  • Digital psychiatry
  • Computational social science
  • Mental health informatics

Background:

  • Previous research identified linguistic and behavioral social media markers for schizophrenia spectrum disorders (SSD).
  • Limited exploration exists for image analysis in informing psychiatric care for SSD.
  • Image-based platforms like Instagram offer potential for novel behavioral health insights.

Purpose of the Study:

  • To investigate differences in Instagram image features and user activity between individuals with SSD and healthy volunteers (HV).
  • To explore the potential of Instagram data as digital biomarkers for SSD.

Main Methods:

  • Collected 11,947 Instagram posts from 68 participants (34 SSD, 34 HV).
  • Extracted image features (color, faces) and analyzed social connections (followers/following ratio).
  • Compared usage patterns between SSD and HV groups.

Main Results:

  • Individuals with SSD posted images with significantly lower saturation and colorfulness compared to HVs.
  • SSD participants posted images with fewer faces on average (1.5 vs. 2.4).
  • Individuals with SSD showed a lower followers-to-following ratio (p = 0.025).

Conclusions:

  • Distinct differences in Instagram image content and user activity were observed in individuals with SSD.
  • These findings suggest that Instagram data may contain potential digital biomarkers for identifying SSD.
  • Further research can leverage social media image analysis for enhanced psychiatric care and understanding of SSD.