The Promise of Affective Language for Identifying and Intervening on Psychopathology

IF 2.1 Q2 PSYCHOLOGY
Erik C. Nook
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引用次数: 1

Abstract

We are in dire need of innovative tools for reducing the global burden of psychopathology. Emerging evidence suggests that analyzing language (i.e., the words people use) can grant insight into an individual's emotional experiences, their ability to regulate their emotions, and even their current experiences of psychopathology. As such, linguistic analyses of people’s everyday word use may be a diagnostic marker of emotional well-being, and manipulating the words people use could foster adaptive emotion regulation and mental health. Given the ubiquity of language in everyday life, such language-based tools for measuring and intervening in emotion and mental health can advance how we identify and treat mental illnesses at a large scale. In this paper, I outline the promise of this approach and identify key problems we must solve if we are to make it a reality. In particular, I summarize evidence connecting language, emotion, and mental health for three key constructs: sentiment (i.e., the valence of one’s language), linguistic distancing (i.e., using language to separate oneself from distressing stimuli), and emotion differentiation (i.e., using words to specifically identify one’s emotions). I also identify open questions in need of attention for each of these constructs and this area of research as a whole. Overall, I believe the future is bright for the application of psycholinguistic approaches to mental health detection and intervention.

情感语言对心理病理学识别和干预的承诺。
我们迫切需要创新的工具来减轻全球精神病理学的负担。新出现的证据表明,分析语言(即人们使用的词语)可以深入了解个人的情绪体验、他们调节情绪的能力,甚至他们目前的精神病理学经历。因此,对人们日常用词的语言学分析可能是情绪健康的诊断标志,而操纵人们使用的词可以促进适应性情绪调节和心理健康。鉴于语言在日常生活中的普遍性,这种基于语言的测量和干预情绪和心理健康的工具可以促进我们如何大规模识别和治疗心理疾病。在本文中,我概述了这种方法的前景,并确定了如果我们要实现它,我们必须解决的关键问题。特别是,我总结了将语言、情绪和心理健康联系起来的三个关键结构的证据:情绪(即一个人语言的效价)、语言距离(即使用语言将自己与痛苦的刺激区分开来)和情绪分化(即使用词来具体识别自己的情绪)。我还确定了每一个结构和整个研究领域需要关注的开放性问题。总的来说,我相信心理语言学方法在心理健康检测和干预方面的应用前景光明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.40
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