首页|空气污染对个体情绪的影响:大数据与实验的证据

空气污染对个体情绪的影响:大数据与实验的证据

The Impact of Air Pollution on Individual Emotions:Evidence from Big Data and Experiments

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空气污染的情绪心理影响研究中较少存在高生态效度的实时数据分析和高内部效度的实验研究.本文对中国大陆 292 个地级市 297067名微博用户 5292 万条博文信息,以及相应时空的空气质量检测与气象信息进行面板数据分析,发现PM2.5 和AQI在大气污染普遍较为严重的 2014年可显著负向预测 SnowNLP 情绪指数,而在空气污染治理收效良好的2017 年则不能.本文继而采用图片启动范式开展实验研究,发现空气污染可显著影响个体负性情绪,威胁感知中介了这一心理过程.
In examining the emotional consequences of air pol-lution,there has been a lack of high ecological valid-ity real-time data analysis and high internal validity experimental research.To fill the gap,the current re-search conducted panel data analyses on 52.92 mil-lion Weibo posts from 297,067 users in 292 cities in Chinese mainland,along with corresponding spa-tiotemporal data on air quality and meteorology.Re-sults showed that PM2.5 and AQI could significantly negatively predict SnowNLP emotion index in 2014,while in 2017 when air pollution control measures were effective,no such association was found.The current research then utilized the picture-priming paradigm to conduct an experimental study and found that air pollution could significantly affect individual negative emotions,with threat perception acting as a mediator.

air pollutionemotionthreat perceptionWeibo

杜美含、吴金晏、陈浩

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天津大学应用心理研究所,天津 300354

南开大学社会学院社会心理学系,天津 300350

广州粤港澳社会心理建设研究中心,广州 510275

空气污染 情绪 威胁感知 微博

南开大学文科发展基金项目中央高校基本科研业务费专项资金项目

ZB22BZ021863233147

2024

应用心理学
浙江省心理学会 浙江大学

应用心理学

CSSCICHSSCD
影响因子:0.3
ISSN:1006-6020
年,卷(期):2024.30(3)
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