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dc.contributor.author
Tommasel, Antonela

dc.contributor.author
Diaz Pace, Jorge Andres

dc.contributor.author
Godoy, Daniela Lis

dc.contributor.author
Rodriguez, Juan Manuel

dc.date.available
2022-02-10T16:07:57Z
dc.date.issued
2021-11
dc.identifier.citation
Tommasel, Antonela; Diaz Pace, Jorge Andres; Godoy, Daniela Lis; Rodriguez, Juan Manuel; Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic; Taylor & Francis Ltd; Behaviour And Information Technology; 2021; 11-2021; 1-20
dc.identifier.issn
0144-929X
dc.identifier.uri
http://hdl.handle.net/11336/151779
dc.description.abstract
The COVID-19 pandemic has affected all aspects of society, bringing health hazards and posing challenges to public order, governments, and mental health. This study examines the stages of crisis response and recovery as a sociological problem by operationalising a well-known model of crisis stages in terms of a psycho-linguistic analysis. Based on an extensive collection of Twitter data spanning from March to August 2020 in Argentina, we present a thematic study on the differences in language used in social media posts and look at indicators that reveal the distinctive stages of a crisis and the country response thereof. The analysis was combined with a study of the temporal prevalence of mental health related conversations and emotions. This approach can provide insights for public health policy design to monitor and eventually intervene during the different stages of a crisis, thus improving the adverse mental health effects on the population.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis Ltd

dc.rights
info:eu-repo/semantics/embargoedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COVID-19
dc.subject
CRISIS
dc.subject
PSYCHO-LINGUISTIC TEXT ANALYSIS
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SOCIAL ANALYTIC
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SOCIAL MEDIA
dc.subject.classification
Otras Ciencias de la Computación e Información

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Ciencias de la Computación e Información

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CIENCIAS NATURALES Y EXACTAS

dc.title
Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-02-08T16:46:35Z
dc.journal.volume
2021
dc.journal.pagination
1-20
dc.journal.pais
Reino Unido

dc.journal.ciudad
Londres
dc.description.fil
Fil: Tommasel, Antonela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Rodriguez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.journal.title
Behaviour And Information Technology

dc.rights.embargoDate
2022-08-10
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/0144929X.2021.1998630
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/0144929X.2021.1998630
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