One-shot intervention reduces online engagement with distorted content

Depression is one of the leading causes of disability worldwide. Individuals with depression often experience unrealistic and overly negative thoughts, i.e. cognitive distortions, that cause maladaptive behaviors and feelings. Now that a majority of the US population uses social media platforms, concerns have been raised that they may serve as a vector for the spread of distorted ideas and thinking amid a global mental health epidemic. Here, we study how individuals ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>n</mml:mi> <mml:mo>=</mml:mo> <mml:mn>838</mml:mn></mml:math> ) interact with distorted content on social media platforms using a simulated environment similar to Twitter (now X). We find that individuals with higher depression symptoms tend to prefer distorted content more than those with fewer symptoms. However, a simple one-shot intervention can teach individuals to recognize and drastically reduce interactions with distorted content across the entire depression scale. This suggests that distorted thinking on social media may disproportionally affect individuals with depression, but simple awareness training can mitigate this effect. Our findings have important implicasstions for understanding the role of social media in propagating distorted thinking and potential paths to reduce the societal cost of mental health disorders.

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Publication Details

Journal
PNAS Nexus
Published
2025-02-27
DOI
https://doi.org/10.1093/pnasnexus/pgaf068
Citations
1
Primary Topic
Media Influence and Health
Type
article
Field-Weighted Citation Impact
15.18

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article

One-shot intervention reduces online engagement with distorted content

Jennifer S. Trueblood, Gunnar Paul Epping, Eeshan Hasan, Johan Bollen et al.
1 citations
PNAS Nexus
Media Influence and Health
15.18
article

One-shot intervention reduces online engagement with distorted content

Jennifer S. Trueblood, Gunnar Paul Epping, Eeshan Hasan, Johan Bollen, Lorenzo Lorenzo‐Luaces
article en
1 citations

Abstract

Depression is one of the leading causes of disability worldwide. Individuals with depression often experience unrealistic and overly negative thoughts, i.e. cognitive distortions, that cause maladaptive behaviors and feelings. Now that a majority of the US population uses social media platforms, concerns have been raised that they may serve as a vector for the spread of distorted ideas and thinking amid a global mental health epidemic. Here, we study how individuals ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>n</mml:mi> <mml:mo>=</mml:mo> <mml:mn>838</mml:mn></mml:math> ) interact with distorted content on social media platforms using a simulated environment similar to Twitter (now X). We find that individuals with higher depression symptoms tend to prefer distorted content more than those with fewer symptoms. However, a simple one-shot intervention can teach individuals to recognize and drastically reduce interactions with distorted content across the entire depression scale. This suggests that distorted thinking on social media may disproportionally affect individuals with depression, but simple awareness training can mitigate this effect. Our findings have important implicasstions for understanding the role of social media in propagating distorted thinking and potential paths to reduce the societal cost of mental health disorders.

PNAS NexusVol. 4(3)
Indiana University Bloomington (US)
National Science Foundation
Openalex Percentile: Top 3%
Media Influence and Health
15.18
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