分析九类心理疾病文本，发现认知扭曲普遍存在且模式相似。
Exploring Profiles of Cognitive Distortions Associated with Mental Health Disorders
- 用词袋和微调模型分析Reddit文本中的认知扭曲
- 各心理疾病组扭曲频率均高于对照组，效应量为小到中等
- 简单词汇方法即可发现群体趋势，适合大规模探索
认知扭曲（思维扭曲模式）在计算心理健康研究中日益受到关注。尽管与多种甚至几乎所有心理障碍相关，现有研究多集中于抑郁症。本文探索了多种心理障碍中的扭曲特征。我们基于包含九个自报心理疾病群体及一个对照组的大型Reddit数据集，采用n-gram方法与微调的Transformer模型检测认知扭曲。结果显示，所有心理疾病组（合并或单独分析）的扭曲出现率均高于对照组，效应量介于小至中等之间。跨病种比较显示整体模式高度相似，但部分群体扭曲水平更高。结果表明，相对简单的词汇方法可用于大规模心理健康文本数据的群体趋势探索。
原文摘要 · Abstract (English)
Cognitive distortions, distorted patterns of thinking, have been increasingly studied in computational mental health research. Although they are related to many, if not all, mental health disorders, most existing studies focus primarily on depression. In this work, we explore distortion profiles across multiple mental health conditions. We analyzed a large Reddit-based dataset containing posts from nine self-reported mental health groups as well as a control group using both an n-gram-based method and a fine-tuned transformer model for detecting cognitive distortions. Mental health groups, both when pooled together and when examined individually, showed higher prevalence of cognitive distortions compared to the control group, with the effect sizes ranging from small to moderate. When comparing distortion profiles across conditions, we observed largely similar patterns, although some groups exhibited overall higher levels of distortions than others. These findings suggest that relatively simple lexical approaches can be useful for exploratory analyses of group-level trends in large-scale mental health text data.
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