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2018-10-17Zeitschriftenartikel DOI: 10.18452/19646
Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media
dc.contributor.authorGruebner, Oliver
dc.contributor.authorLowe, Sarah R.
dc.contributor.authorSykora, Martin
dc.contributor.authorShankardass, Ketan
dc.contributor.authorSubramanian, S V
dc.contributor.authorGalea-Soler, Sandro
dc.date.accessioned2018-12-28T10:41:45Z
dc.date.available2018-12-28T10:41:45Z
dc.date.issued2018-10-17
dc.identifier.issn1660-4601
dc.identifier.urihttp://edoc.hu-berlin.de/18452/20422
dc.descriptionThis article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
dc.description.abstractDisasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census tracts, applied spatial regimes regression to find associations of discomfort, and used Moran’s I for spatial cluster detection across NYC boroughs over time. We found increased discomfort, that is, bundled negative emotions after the storm as compared to during the storm. Furthermore, pre- and peri-disaster discomfort was positively associated with post-disaster discomfort; however, this association was different across boroughs, with significant associations only in Manhattan, the Bronx, and Queens. In addition, rates were most prominently spatially clustered in Staten Island lasting pre- to post-disaster. This is the first study that determined significant associations of negative emotional responses found in social media posts over space and time in the context of a natural disaster, which may guide us in identifying those areas and populations mostly in need for care.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectadvanced sentiment analysiseng
dc.subjectdigital epidemiologyeng
dc.subjectgeographic information systemeng
dc.subjectgeo-social mediaeng
dc.subjecthotspotseng
dc.subjectpost-disaster mental healtheng
dc.subjectpsychogeographyeng
dc.subjectspatial epidemiologyeng
dc.subjectspatial regimes regressioneng
dc.subjectTwitter dataeng
dc.subject.ddc301 Soziologie und Anthropologie
dc.titleSpatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/20422-5
dc.identifier.doihttp://dx.doi.org/10.18452/19646
dc.type.versionpublishedVersion
local.edoc.pages12
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewed
dcterms.bibliographicCitation.doi10.3390/ijerph15102275
dcterms.bibliographicCitation.journaltitleInternational journal of environmental research and public health
dcterms.bibliographicCitation.volume15
dcterms.bibliographicCitation.issue10
dcterms.bibliographicCitation.articlenumberBV045242802
dcterms.bibliographicCitation.articlenumber2275
dcterms.bibliographicCitation.originalpublishernameMDPI AG
dcterms.bibliographicCitation.originalpublisherplaceBasel
bua.departmentMathematisch-Naturwissenschaftliche Fakultät

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