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Individuals with depression express more distorted thinking on social media

Author

Listed:
  • Krishna C. Bathina

    (Indiana University Bloomington)

  • Marijn ten Thij

    (Indiana University Bloomington)

  • Lorenzo Lorenzo-Luaces

    (Indiana University Bloomington)

  • Lauren A. Rutter

    (Indiana University Bloomington)

  • Johan Bollen

    (Indiana University Bloomington)

Abstract

Depression is a leading cause of disability worldwide, but is often underdiagnosed and undertreated. Cognitive behavioural therapy holds that individuals with depression exhibit distorted modes of thinking, that is, cognitive distortions, that can negatively affect their emotions and motivation. Here, we show that the language of individuals with a self-reported diagnosis of depression on social media is characterized by higher levels of distorted thinking compared with a random sample. This effect is specific to the distorted nature of the expression and cannot be explained by the presence of specific topics, sentiment or first-person pronouns. This study identifies online language patterns that are indicative of depression-related distorted thinking. We caution that any future applications of this research should carefully consider ethical and data privacy issues.

Suggested Citation

  • Krishna C. Bathina & Marijn ten Thij & Lorenzo Lorenzo-Luaces & Lauren A. Rutter & Johan Bollen, 2021. "Individuals with depression express more distorted thinking on social media," Nature Human Behaviour, Nature, vol. 5(4), pages 458-466, April.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:4:d:10.1038_s41562-021-01050-7
    DOI: 10.1038/s41562-021-01050-7
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    Cited by:

    1. Sean W. Kelley & Claire M. Gillan, 2022. "Using language in social media posts to study the network dynamics of depression longitudinally," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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