Social Sensing of Heatwaves.
dc.contributor.author | Young, JC | |
dc.contributor.author | Arthur, R | |
dc.contributor.author | Spruce, M | |
dc.contributor.author | Williams, HTP | |
dc.date.accessioned | 2022-06-06T10:19:04Z | |
dc.date.issued | 2021-05-26 | |
dc.date.updated | 2022-06-06T08:52:32Z | |
dc.description.abstract | Heatwaves cause thousands of deaths every year, yet the social impacts of heat are poorly measured. Temperature alone is not sufficient to measure impacts and "heatwaves" are defined differently in different cities/countries. This study used data from the microblogging platform Twitter to detect different scales of response and varying attitudes to heatwaves within the United Kingdom (UK), the United States of America (US) and Australia. At the country scale, the volume of heat-related Twitter activity increased exponentially as temperature increased. The initial social reaction differed between countries, with a larger response to heatwaves elicited from the UK than from Australia, despite the comparatively milder conditions in the UK. Language analysis reveals that the UK user population typically responds with concern for individual wellbeing and discomfort, whereas Australian and US users typically focus on the environmental consequences. At the city scale, differing responses are seen in London, Sydney and New York on governmentally defined heatwave days; sentiment changes predictably in London and New York over a 24-h period, while sentiment is more constant in Sydney. This study shows that social media data can provide robust observations of public response to heat, suggesting that social sensing of heatwaves might be useful for preparedness and mitigation. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.format.extent | 3717- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 21(11), article 3717 | en_GB |
dc.identifier.doi | https://doi.org/10.3390/s21113717 | |
dc.identifier.grantnumber | EP/R511699/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/129840 | |
dc.identifier | ORCID: 0000-0002-4390-3432 (Young, James C) | |
dc.identifier | ORCID: 0000-0001-7722-9522 (Arthur, Rudy) | |
dc.identifier | ORCID: 0000-0002-1744-8165 (Spruce, Michelle) | |
dc.identifier | ORCID: 0000-0002-5927-3367 (Williams, Hywel TP) | |
dc.identifier | ScopusID: 16644198200 (Williams, Hywel TP) | |
dc.language.iso | en | en_GB |
dc.publisher | MDPI | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/34073608 | en_GB |
dc.relation.url | https://www.ncei.noaa.gov/access/search/data-search/global-summary-of-the-day | en_GB |
dc.relation.url | https://catalogue.ceda.ac.uk/uuid/220a65615218d5c9cc9e4785a3234bd0 | en_GB |
dc.rights | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | extreme weather | en_GB |
dc.subject | heat | en_GB |
dc.subject | heatwave | en_GB |
dc.subject | natural hazards | en_GB |
dc.subject | social media | en_GB |
dc.subject | social sensing | en_GB |
dc.title | Social Sensing of Heatwaves. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-06-06T10:19:04Z | |
dc.identifier.issn | 1424-8220 | |
exeter.article-number | ARTN 3717 | |
exeter.place-of-publication | Switzerland | |
dc.description | This is the final version. Available on open access from MDPI via the DOI in this record | en_GB |
dc.description | Data Availability Statement: The Twitter data used in this word was collected using the official API (https://developer.twitter.com/en/docs/twitter-api (accessed on 20 August 2020)). The temperature data was collected from the NOAA GSOD dataset (https://www.ncei.noaa.gov/access/search/data-search/global-summary-of-the-day (accessed on 15 August 2020)) and the Met Office MIDAS dataset (https://catalogue.ceda.ac.uk/uuid/220a65615218d5c9cc9e4785a3234bd0 (accessed on 15 August 2020)). | en_GB |
dc.identifier.eissn | 1424-8220 | |
dc.identifier.journal | Sensors | en_GB |
dc.relation.ispartof | Sensors (Basel), 21(11) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-05-21 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-05-26 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-06-06T10:17:47Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-06-06T10:19:16Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2021-05-26 |
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Except where otherwise noted, this item's licence is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).