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理智与情感:社交媒体揭示了孤独与抑郁的不同语言表达。

Head versus heart: social media reveals differential language of loneliness from depression.

作者信息

Liu Tingting, Ungar Lyle H, Curtis Brenda, Sherman Garrick, Yadeta Kenna, Tay Louis, Eichstaedt Johannes C, Guntuku Sharath Chandra

机构信息

National Institute on Drug Abuse (NIDA IRP), National Institutes of Health (NIH), Baltimore, MD, USA.

Positive Psychology Center, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Npj Ment Health Res. 2022 Oct 18;1(1):16. doi: 10.1038/s44184-022-00014-7.

Abstract

We study the language differentially associated with loneliness and depression using 3.4-million Facebook posts from 2986 individuals, and uncover the statistical associations of survey-based depression and loneliness with both dictionary-based (Linguistic Inquiry Word Count 2015) and open-vocabulary linguistic features (words, phrases, and topics). Loneliness and depression were found to have highly overlapping language profiles, including sickness, pain, and negative emotions as (cross-sectional) risk factors, and social relationships and activities as protective factors. Compared to depression, the language associated with loneliness reflects a stronger cognitive focus, including more references to cognitive processes (i.e., differentiation and tentative language, thoughts, and the observation of irregularities), and cognitive activities like reading and writing. As might be expected, less lonely users were more likely to reference social relationships (e.g., friends and family, romantic relationships), and use first-person plural pronouns. Our findings suggest that the mechanisms of loneliness include self-oriented cognitive activities (i.e., reading) and an overattention to the interpretation of information in the environment. These data-driven ecological findings suggest interventions for loneliness that target maladaptive social cognitions (e.g., through reframing the perception of social environments), strengthen social relationships, and treat other affective distress (i.e., depression).

摘要

我们使用来自2986个人的340万条脸书帖子,研究与孤独和抑郁有差异关联的语言,并揭示基于调查的抑郁和孤独与基于词典(2015年语言调查词频统计)及开放词汇语言特征(单词、短语和主题)之间的统计关联。研究发现,孤独和抑郁具有高度重叠的语言特征,包括疾病、疼痛和负面情绪作为(横断面)风险因素,以及社会关系和活动作为保护因素。与抑郁相比,与孤独相关的语言反映出更强的认知焦点,包括更多对认知过程(即区分和试探性语言、思想以及对不规则性的观察)以及阅读和写作等认知活动的提及。不出所料,孤独感较低的用户更有可能提及社会关系(如朋友和家人、恋爱关系),并使用第一人称复数代词。我们的研究结果表明,孤独的机制包括以自我为导向的认知活动(即阅读)以及对环境中信息解读的过度关注。这些数据驱动的生态学研究结果表明,针对孤独的干预措施可以针对适应不良的社会认知(例如,通过重新构建对社会环境的认知)、加强社会关系以及治疗其他情感困扰(即抑郁)。

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