Social Sensing of Heatwaves

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 dif...

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Hlavní autoři: James C. Young, Rudy Arthur, Michelle Spruce, Hywel T. P. Williams
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2021-05-01
Edice:Sensors
Témata:
On-line přístup:https://www.mdpi.com/1424-8220/21/11/3717
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author James C. Young
Rudy Arthur
Michelle Spruce
Hywel T. P. Williams
author_facet James C. Young
Rudy Arthur
Michelle Spruce
Hywel T. P. Williams
author_sort James C. Young
collection DOAJ
description 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.
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spelling doaj.art-ccd5a901b3344c788c8f6ca319392ca02023-11-21T21:32:00ZengMDPI AGSensors1424-82202021-05-012111371710.3390/s21113717Social Sensing of HeatwavesJames C. Young0Rudy Arthur1Michelle Spruce2Hywel T. P. Williams3Computer Science, Innovation Centre, University of Exeter, North Park Road, Exeter EX4 4RN, UKComputer Science, Innovation Centre, University of Exeter, North Park Road, Exeter EX4 4RN, UKComputer Science, Innovation Centre, University of Exeter, North Park Road, Exeter EX4 4RN, UKComputer Science, Innovation Centre, University of Exeter, North Park Road, Exeter EX4 4RN, UKHeatwaves 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.https://www.mdpi.com/1424-8220/21/11/3717heatwaveheatextreme weathernatural hazardssocial sensingsocial media
spellingShingle James C. Young
Rudy Arthur
Michelle Spruce
Hywel T. P. Williams
Social Sensing of Heatwaves
Sensors
heatwave
heat
extreme weather
natural hazards
social sensing
social media
title Social Sensing of Heatwaves
title_full Social Sensing of Heatwaves
title_fullStr Social Sensing of Heatwaves
title_full_unstemmed Social Sensing of Heatwaves
title_short Social Sensing of Heatwaves
title_sort social sensing of heatwaves
topic heatwave
heat
extreme weather
natural hazards
social sensing
social media
url https://www.mdpi.com/1424-8220/21/11/3717
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