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社交媒体上关于未来的语言作为焦虑和抑郁的一种新标志:大数据与实验分析

Language about the future on social media as a novel marker of anxiety and depression: A big-data and experimental analysis.

作者信息

Robertson Cole, Carney James, Trudell Shane

机构信息

Emory University.

The London Interdisciplinary School.

出版信息

Curr Res Behav Sci. 2023;4:None. doi: 10.1016/j.crbeha.2023.100104.

DOI:10.1016/j.crbeha.2023.100104
PMID:37397228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10308542/
Abstract

Anxiety and depression negatively impact many. Studies suggest depression is associated with future time horizons, or how "far" into the future people tend to think, and anxiety is associated with temporal discounting, or how much people devalue future rewards. Separate studies from linguistics and economics have shown that how people refer to future time predicts temporal discounting. Yet no one-that we know of-has investigated whether future time reference habits are a marker of anxiety and/or depression. We introduce the FTR classifier, a novel classification system researchers can use to analyse linguistic temporal reference. In Study 1, we used the FTR classifier to analyse data from the social-media website Reddit. Users who had previously posted popular contributions to forums about anxiety and depression referenced the future and past more often than controls, had more proximal future and past time horizons, and significantly differed in their linguistic future time reference patterns: They used fewer future tense constructions (e.g. ), fewer high-certainty constructions (), more low-certainty constructions (), more bouletic modal constructions (), and more deontic modal constructions (). This motivated Study 2, a survey-based mediation analysis. Self-reported anxious participants represented future events as more temporally distal and therefore temporally discounted to a greater degree. The same was not true of depression. We conclude that methods which combine big-data with experimental paradigms can help identify novel markers of mental illness, which can aid in the development of new therapies and diagnostic criteria.

摘要

焦虑和抑郁对许多人产生负面影响。研究表明,抑郁与未来时间视野有关,即人们倾向于思考未来的“远近”程度,而焦虑与时间折扣有关,即人们对未来奖励的贬值程度。语言学和经济学的独立研究表明,人们提及未来时间的方式可以预测时间折扣。然而,据我们所知,没有人研究过未来时间参照习惯是否是焦虑和/或抑郁的一个标志。我们引入了FTR分类器,这是一种研究人员可用于分析语言时间参照的新型分类系统。在研究1中,我们使用FTR分类器分析了社交媒体网站Reddit的数据。之前在焦虑和抑郁相关论坛上发表过热门帖子的用户比对照组更频繁地提及未来和过去,有更近的未来和过去时间视野,并且在语言未来时间参照模式上有显著差异:他们使用的将来时态结构(例如)更少,高确定性结构()更少,低确定性结构()更多,愿望性情态结构()更多,以及道义性情态结构()更多。这促使我们进行了研究2,一项基于调查的中介分析。自我报告有焦虑情绪的参与者将未来事件视为在时间上更遥远,因此在时间上折扣程度更大。抑郁情况并非如此。我们得出结论,将大数据与实验范式相结合的方法有助于识别精神疾病的新标志,这有助于开发新的治疗方法和诊断标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/5545c5d632cb/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/b6e070e9ffc5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/9eb144005571/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/0708c325e0e8/gr3.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/2ee82b676144/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/1f3333738c0b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/5545c5d632cb/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/b6e070e9ffc5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/9eb144005571/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/0708c325e0e8/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/551df99e18b0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/2ee82b676144/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/1f3333738c0b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3d3/10308542/5545c5d632cb/gr7.jpg

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