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

作　　者：杜美含 吴金晏 陈浩[2,3] DU Mei-han;WU Jin-yan;CHEN Hao;无(Institute of Applied Psychology,Tianjin University,Tianjin 300354,China;School of Sociology,Nankai University,Tianjin 300350,China;Research Centre for Greater Bay Area Social Psychology,Sun Yat-sen University,Guangzhou 510275,China)

机构地区：[1]天津大学应用心理研究所,天津300354 [2]南开大学社会学院社会心理学系,天津300350 [3]广州粤港澳社会心理建设研究中心,广州510275

出　　处：《应用心理学》2024年第3期281-288,共8页Chinese Journal of Applied Psychology

基　　金：南开大学文科发展基金项目(ZB22BZ0218);中央高校基本科研业务费专项资金项目(63233147)。

摘　　要：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。本文对中国内地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 pollution,there has been a lack of high ecological validity real-time data analysis and high internal validity experimental research.To fill the gap,the current research conducted panel data analyses on 52.92 million Weibo posts from 297,067 users in 292 cities in China's Mainland,along with corresponding spatiotemporal data on air quality and meteorology.Results 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.

关 键 词：空气污染 情绪 威胁感知 微博 

分 类 号：B849[哲学宗教—应用心理学]