Weather impacts expressed sentiment

被引：102

作者：

Baylis, Patrick ^{[1
]}

Obradovich, Nick ^{[2
]}

Kryvasheyeu, Yury ^{[3
]}

Chen, Haohui ^{[3
]}

Coviello, Lorenzo ^{[4
]}

Moro, Esteban ^{[2
,5
,6
]}

Cebrian, Manuel ^{[2
]}

Fowler, James H. ^{[7
]}

机构：

[1] Univ British Columbia, Vancouver Sch Econ, Vancouver, BC, Canada

[2] MIT, Media Lab, Cambridge, MA 02139 USA

[3] CSIRO, Data61, Melbourne, Vic, Australia

[4] Inst Elect & Elect Engineers, New York, NY USA

[5] Univ Carlos III Madrid, Dept Math, Leganes, Spain

[6] Univ Carlos III Madrid, GISC, Leganes, Spain

[7] Univ Calif San Diego, Dept Polit Sci & Med, San Diego, CA USA

来源：

PLOS ONE | 2018年 / 13卷 / 04期

基金：

美国国家科学基金会;

关键词：

POSITIVE AFFECT; LIFE SATISFACTION; CLIMATE-CHANGE; MOOD; TEMPERATURE; JUDGMENTS; HEALTH; STATES; TEXT;

D O I：

10.1371/journal.pone.0195750

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. We find that cold temperatures, hot temperatures, precipitation, narrower daily temperature ranges, humidity, and cloud cover are all associated with worsened expressions of sentiment, even when excluding weather-related posts. We compare the magnitude of our estimates with the effect sizes associated with notable historical events occurring within our data.

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