ArticleNature human behaviour2021
Individuals with depression express more distorted thinking on social media.
Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed, 119 citations in OpenAlex.
- Naturalistic Online Language as a Marker of Depression in Midlife and Older Adults: Computational Text Analysis of Bluesky and Reddit Posts.Journal of medical Internet research · 2026Article
- Prevalence of Cognitive Distortion Markers in a Suicide Prevention Chat Service: Mixed Methods Study.JMIR mental health · 2026Article
- Cognitive modeling of real-world behavior for understanding mental health.Trends in cognitive sciences · 2026Review
- Disorganisation and depression: a re-examination of how we think and speak when depressed.European archives of psychiatry and clinical neuroscience · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Interpretable depression assessment using a large language model.PLOS digital health · 2026Article
- Unmasking mental distress: exploring the spectrum of cognitive distortions associated with symptoms of anxiety, depression, and suicidal ideation.Cognitive processing · 2026Article
- Semantic Agency Patterns Signal Depressive Experiences: Evidence From Postpartum Communication on Social Media.Depression and anxiety · 2026Article
- Investigating Sensorimotor Decision-Making in Depressed Individuals Using a Bayesian Approach.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Study of the Antidepressant Effects of the Combination of Agmatine and Melatonin Following Restraint Stress in Mice: the Role of Oxidative Factors.Central nervous system agents in medicinal chemistry · 2026Article
- Validating the architecture of cognitive distortions in Russian discourse using artificial intelligence and bootstrap analysis.Frontiers in psychology · 2026Article
- Gender differences in tweets on postnatal depression: A corpus linguistic analysis.Journal of health psychology · 2025Article
- Factors associated with end-of-life quality in terminally ill cancer patients' last six months of life: a longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Seasonal body image dissatisfaction: a bi-hemispheric panel analysis of social media users across 4 years.Eating and weight disorders : EWD · 2025Article
- Anxiety and Depression are Associated with More Distorted Thinking on Social Media: A Longitudinal Multi-Method Study.Cognitive therapy and research · 2025Article
- Cognitive distortions are associated with increasing political polarization.Communications psychology · 2025Article
- Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks.BMC medicine · 2025Article
- Article
- Exploring self-presentation posts of people with depression: themes, stigma, and identity construction.Frontiers in public health · 2025Article
- The Influence of Negative Emotions on Mobile Phone Addiction Among Chinese College Students: The Mediating Role of Negative Coping Styles and the Moderating Role of Gender.Psychology research and behavior management · 2025Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.