• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一次性干预可减少对失真内容的在线参与度。

One-shot intervention reduces online engagement with distorted content.

作者信息

Hasan Eeshan, Epping Gunnar, Lorenzo-Luaces Lorenzo, Bollen Johan, Trueblood Jennifer Sue

机构信息

Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.

Cognitive Science Program, Indiana University, Bloomington, IN 47405, USA.

出版信息

PNAS Nexus. 2025 Mar 4;4(3):pgaf068. doi: 10.1093/pnasnexus/pgaf068. eCollection 2025 Mar.

DOI:10.1093/pnasnexus/pgaf068
PMID:40104683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11914320/
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 ( ) 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.

摘要

抑郁症是全球致残的主要原因之一。患有抑郁症的人经常会经历不切实际且过度消极的想法,即认知扭曲,这些认知扭曲会导致适应不良的行为和情绪。鉴于美国大多数人口都使用社交媒体平台,人们担心在全球心理健康流行的情况下,这些平台可能会成为扭曲观念和思维传播的载体。在此,我们使用类似于推特(现为X)的模拟环境,研究个体如何与社交媒体平台上的扭曲内容进行互动。我们发现,抑郁症状较重的个体比症状较轻的个体更倾向于偏好扭曲内容。然而,一种简单的一次性干预可以教会个体识别并大幅减少在整个抑郁程度范围内与扭曲内容的互动。这表明社交媒体上的扭曲思维可能会对抑郁症患者产生不成比例的影响,但简单的认知训练可以减轻这种影响。我们的研究结果对于理解社交媒体在传播扭曲思维中的作用以及降低心理健康障碍社会成本的潜在途径具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/86bc08aa8b06/pgaf068f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/f08b2b94fe9f/pgaf068f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/9047d1ce2df6/pgaf068f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/e5f669d19ec2/pgaf068f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/86bc08aa8b06/pgaf068f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/f08b2b94fe9f/pgaf068f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/9047d1ce2df6/pgaf068f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/e5f669d19ec2/pgaf068f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff70/11914320/86bc08aa8b06/pgaf068f4.jpg

相似文献

1
One-shot intervention reduces online engagement with distorted content.一次性干预可减少对失真内容的在线参与度。
PNAS Nexus. 2025 Mar 4;4(3):pgaf068. doi: 10.1093/pnasnexus/pgaf068. eCollection 2025 Mar.
2
Individuals with depression express more distorted thinking on social media.抑郁个体在社交媒体上表达出更多扭曲的想法。
Nat Hum Behav. 2021 Apr;5(4):458-466. doi: 10.1038/s41562-021-01050-7. Epub 2021 Feb 11.
3
Efficacy of a Web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial.基于网络众包的点对点认知重评平台对抑郁症的疗效:随机对照试验
J Med Internet Res. 2015 Mar 30;17(3):e72. doi: 10.2196/jmir.4167.
4
Investigating the relationship of COVID-19 related stress and media consumption with schizotypy, depression, and anxiety in cross-sectional surveys repeated throughout the pandemic in Germany and the UK.调查德国和英国在整个大流行期间通过横断面调查重复进行的 COVID-19 相关压力和媒体消费与精神分裂症倾向、抑郁和焦虑之间的关系。
Elife. 2022 Jul 4;11:e75893. doi: 10.7554/eLife.75893.
5
"Anxiety is not cute" analysis of twitter users' discourses on romanticizing mental illness.“焦虑不可爱”:对推特用户浪漫化精神疾病话语的分析。
BMC Psychiatry. 2024 Mar 21;24(1):221. doi: 10.1186/s12888-024-05663-w.
6
Exposure to hate in online and traditional media: A systematic review and meta-analysis of the impact of this exposure on individuals and communities.在网络和传统媒体中接触仇恨言论:对这种接触对个人和社区影响的系统评价与荟萃分析。
Campbell Syst Rev. 2025 Jan 16;21(1):e70018. doi: 10.1002/cl2.70018. eCollection 2025 Mar.
7
Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook.平台对公共卫生传播的影响:一项关于推特和脸书上信息设计与受众参与度的比较性全国研究。
JMIR Infodemiology. 2022 Dec 20;2(2):e40198. doi: 10.2196/40198. eCollection 2022 Jul-Dec.
8
Profiling Generalized Anxiety Disorder on Social Networks: Content and Behavior Analysis.社交网络上广泛性焦虑症的剖析:内容与行为分析
J Med Internet Res. 2025 Mar 20;27:e53399. doi: 10.2196/53399.
9
Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis.社会人口统计学与社交(内化症状和语言在线队列研究)I和II中的跨诊断心理健康症状:横断面调查与机器人检测分析
JMIR Form Res. 2022 Oct 20;6(10):e39324. doi: 10.2196/39324.
10
Emotional responses and psychological health among young people amid climate change, Fukushima's radioactive water release, and wars in Ukraine and the Middle East, and the mediating roles of media exposure and nature connectedness: a cross-national analysis.气候变化、福岛核污水排放、俄乌战争和中东战争背景下年轻人的情绪反应和心理健康,以及媒体接触和与自然联系的中介作用:一项跨国分析。
Lancet Planet Health. 2024 Jun;8(6):e365-e377. doi: 10.1016/S2542-5196(24)00097-4.

引用本文的文献

1
Cognitive distortions are associated with increasing political polarization.认知扭曲与政治两极化加剧有关。
Commun Psychol. 2025 Jul 15;3(1):105. doi: 10.1038/s44271-025-00289-4.

本文引用的文献

1
Opportunities and Risks of Large Language Models in Psychiatry.大型语言模型在精神病学中的机遇与风险
NPP Digit Psychiatry Neurosci. 2024;2(1). doi: 10.1038/s44277-024-00010-z. Epub 2024 May 24.
2
Durably reducing conspiracy beliefs through dialogues with AI.通过与人工智能对话持久地减少阴谋论信念。
Science. 2024 Sep 13;385(6714):eadq1814. doi: 10.1126/science.adq1814.
3
Mental health misinformation on social media: Review and future directions.社交媒体上的心理健康错误信息:综述与未来方向。
Curr Opin Psychol. 2024 Apr;56:101738. doi: 10.1016/j.copsyc.2023.101738. Epub 2023 Nov 14.
4
Efficacy of an Unguided, Digital Single-Session Intervention for Internalizing Symptoms in Web-Based Workers: Randomized Controlled Trial.基于网络的工作人员单一数字疗程非引导式干预对内在化症状的疗效:随机对照试验
J Med Internet Res. 2023 Jul 7;25:e45411. doi: 10.2196/45411.
5
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health.ChatGPT 和大型语言模型的兴起:公共卫生领域新的 AI 驱动的信息疫情威胁。
Front Public Health. 2023 Apr 25;11:1166120. doi: 10.3389/fpubh.2023.1166120. eCollection 2023.
6
Attitudes and (Mis)information About Cognitive Behavioral Therapy on TikTok: An Analysis of Video Content.TikTok上关于认知行为疗法的态度与(错误)信息:视频内容分析
J Med Internet Res. 2023 Mar 13;25:e45571. doi: 10.2196/45571.
7
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review.使用机器学习方法在社交媒体上检测和测量抑郁症:系统评价
JMIR Ment Health. 2022 Mar 1;9(3):e27244. doi: 10.2196/27244.
8
Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis.新冠疫情期间数字媒体使用与青少年心理健康的系统评价和荟萃分析。
Front Public Health. 2022 Feb 1;9:793868. doi: 10.3389/fpubh.2021.793868. eCollection 2021.
9
Algorithmic amplification of politics on Twitter.推特上的政治算法放大。
Proc Natl Acad Sci U S A. 2022 Jan 4;119(1). doi: 10.1073/pnas.2025334119.
10
Empathy-based counterspeech can reduce racist hate speech in a social media field experiment.基于同理心的反驳言论可以减少社交媒体领域实验中的种族主义仇恨言论。
Proc Natl Acad Sci U S A. 2021 Dec 14;118(50). doi: 10.1073/pnas.2116310118.