Weather impacts expressed sentiment

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dc.contributor.author Baylis, Patrick
dc.contributor.author Obradovich, Nick
dc.contributor.author Kryvasheyeu, Yuri
dc.contributor.author Chen, Hohui
dc.contributor.author Coviello, Lorenzo
dc.contributor.author Moro, Esteban
dc.contributor.author Cebrian, Manuel
dc.contributor.author Fowler, James H.
dc.date.accessioned 2019-07-12T09:50:36Z
dc.date.available 2019-07-12T09:50:36Z
dc.date.issued 2018-04-25
dc.identifier.bibliographicCitation Baylis, P., Obradovich, N., Kryvasheyeu, Y., Chen, H., Coviello, L., Moro, E. y Fowler, J. H.(2018) Weather impacts expressed sentiment. PLoS ONE 13(4), e0195750.
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10016/28586
dc.description.abstract 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.
dc.description.sponsorship This work was supported by Ministerio de Economía y Competitividad: FIS2013-47532-C3-3-P, FIS2016-78904-C3-3-P (http://www.mineco.gob.es/); and National Science Foundation DGE0707423, TG-SES130013, 0903551 (https://www.nsf.gov/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.format.extent 11
dc.language.iso eng
dc.publisher Tobias Preis, University of Warwick, United Kingdom
dc.rights © 2018 Baylis et al.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.title Weather impacts expressed sentiment
dc.type article
dc.subject.eciencia Matemáticas
dc.identifier.doi https://doi.org/10.1371/journal.pone.0195750
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. FIS2013-47532-C3-3-P
dc.relation.projectID Gobierno de España. FIS2016-78904-C3-3-P
dc.type.version publishedVersion
dc.identifier.publicationtitle PLoS One
dc.identifier.publicationvolume 13
dc.identifier.uxxi AR/0000021452
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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