Literature DB >> 33574604

Individuals with depression express more distorted thinking on social media.

Krishna C Bathina1, Marijn Ten Thij1, Lorenzo Lorenzo-Luaces2, Lauren A Rutter2, Johan Bollen3.   

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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Year:  2021        PMID: 33574604     DOI: 10.1038/s41562-021-01050-7

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  39 in total

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Journal:  Annu Rev Clin Psychol       Date:  2014-01-02       Impact factor: 18.561

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Review 4.  It's complicated: The relation between cognitive change procedures, cognitive change, and symptom change in cognitive therapy for depression.

Authors:  Lorenzo Lorenzo-Luaces; Ramaris E German; Robert J DeRubeis
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5.  The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses.

Authors:  Stefan G Hofmann; Anu Asnaani; Imke J J Vonk; Alice T Sawyer; Angela Fang
Journal:  Cognit Ther Res       Date:  2012-07-31

6.  National Trends in the Prevalence and Treatment of Depression in Adolescents and Young Adults.

Authors:  Ramin Mojtabai; Mark Olfson; Beth Han
Journal:  Pediatrics       Date:  2016-11-14       Impact factor: 7.124

7.  Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century.

Authors:  Anne Case; Angus Deaton
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

8.  Clinical diagnosis of depression in primary care: a meta-analysis.

Authors:  Alex J Mitchell; Amol Vaze; Sanjay Rao
Journal:  Lancet       Date:  2009-07-27       Impact factor: 79.321

9.  Does cognitive behaviour therapy have an enduring effect that is superior to keeping patients on continuation pharmacotherapy? A meta-analysis.

Authors:  Pim Cuijpers; Steven D Hollon; Annemieke van Straten; Claudi Bockting; Matthias Berking; Gerhard Andersson
Journal:  BMJ Open       Date:  2013-04-26       Impact factor: 2.692

10.  Measuring cognitive errors using the Cognitive Distortions Scale (CDS): psychometric properties in clinical and non-clinical samples.

Authors:  Kadir Özdel; Ibrahim Taymur; Seher Olga Guriz; Riza Gökcer Tulaci; Erkan Kuru; Mehmet Hakan Turkcapar
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

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  11 in total

1.  The relationship between text message sentiment and self-reported depression.

Authors:  Tony Liu; Jonah Meyerhoff; Johannes C Eichstaedt; Chris J Karr; Susan M Kaiser; Konrad P Kording; David C Mohr; Lyle H Ungar
Journal:  J Affect Disord       Date:  2021-12-25       Impact factor: 4.839

2.  Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes.

Authors:  Danny Valdez; Kristen N Jozkowski; Katherine Haus; Marijn Ten Thij; Brandon L Crawford; María S Montenegro; Wen-Juo Lo; Ronna C Turner; Johan Bollen
Journal:  Pilot Feasibility Stud       Date:  2022-06-16

3.  Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning.

Authors:  Thayer Alshaabi; Colin M Van Oort; Mikaela Irene Fudolig; Michael V Arnold; Christopher M Danforth; Peter Sheridan Dodds
Journal:  Front Artif Intell       Date:  2022-01-24

4.  Using language in social media posts to study the network dynamics of depression longitudinally.

Authors:  Sean W Kelley; Claire M Gillan
Journal:  Nat Commun       Date:  2022-02-15       Impact factor: 17.694

5.  Quantifying changes in societal optimism from online sentiment.

Authors:  Calvin Isch; Marijn Ten Thij; Peter M Todd; Johan Bollen
Journal:  Behav Res Methods       Date:  2022-03-22

6.  Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study.

Authors:  Anne Marie Stupinski; Thayer Alshaabi; Michael V Arnold; Jane Lydia Adams; Joshua R Minot; Matthew Price; Peter Sheridan Dodds; Christopher M Danforth
Journal:  JMIR Ment Health       Date:  2022-03-30

7.  Text as signal. A tutorial with case studies focusing on social media (Twitter).

Authors:  Eric Mayor; Lucas M Bietti; Erick Jorge Canales-Rodríguez
Journal:  Behav Res Methods       Date:  2022-07-25

8.  Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.

Authors:  Hamad Zogan; Imran Razzak; Xianzhi Wang; Shoaib Jameel; Guandong Xu
Journal:  World Wide Web       Date:  2022-01-28       Impact factor: 3.000

9.  Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language.

Authors:  Johan Bollen; Marijn Ten Thij; Fritz Breithaupt; Alexander T J Barron; Lauren A Rutter; Lorenzo Lorenzo-Luaces; Marten Scheffer
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-09       Impact factor: 11.205

10.  Historical language records reveal a surge of cognitive distortions in recent decades.

Authors:  Johan Bollen; Marijn Ten Thij; Fritz Breithaupt; Alexander T J Barron; Lauren A Rutter; Lorenzo Lorenzo-Luaces; Marten Scheffer
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-27       Impact factor: 11.205

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