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Tracking the evolution of crisis processes and mental health on social media during the Covid-19 pandemic

Bibliographic Data

ID21452229
AuthorsAntonela Tommasel (0000-0001-6091-8305, ISISTAN, CONICET-UNICEN, Tandil, Argentina, corresponding author), Andrés Diaz-Pace (ISISTAN, CONICET-UNICEN, Tandil, Argentina), Daniela Godoy (0000-0001-7673-7154, ISISTAN, CONICET-UNICEN, Tandil, Argentina), Juan Manuel Rodríguez (0000-0002-1130-8065, ISISTAN, CONICET-UNICEN, Tandil, Argentina)
Year2022
Volume41
Issue16
Pages3450-3469
Publication date2022-12-10
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueBehaviour and Information Technology (JOURNAL)
Journal identifiersISSN: 0144-929X • E-ISSN: 1362-3001
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2021.1998630
OpenAlexW3108061948
LanguageEN
Citations received2
References cited48

The COVID-19 pandemic has affected all aspects of society, not only bringing health hazards, but also posing challenges to public order, governments and mental health. Moreover, it is the first one in history in which people from around the world uses social media to massively express their thoughts and concerns. This study aims at examining the stages of crisis response and recovery as a sociological problem by operationalizing a well-known model of crisis stages in terms of a psycho-linguistic analysis. Based on a large collection of Twitter data spanning from March to August 2020 in Argentina, we present a thematic analysis on the differences in language used in social media posts, and look at indicators that reveal the different stages of a crisis and the country response thereof. The analysis was combined with a study of the temporal prevalence of mental health conversations across the time span. Beyond the Argentinian case-study, the proposed approach and analyses can be applied to any public large-scale data. This approach can provide insights for the design of public health politics oriented to monitor and eventually intervene during the different stages of a crisis, and thus improve the adverse mental health effects on the population

Coronavirus disease 2019 (COVID-19) · Crisis communication · Data collection · Disease · Environmental health · Mental health · Operationalization · Pandemic · Political science · Population · Psychiatry · Public health · Public relations · Qualitative research · Social media · Social science · Sociology · Thematic analysis · Tracking (education) · Medicine · Mental Health via Writing · Misinformation and Its Impacts · Nursing · Psychology · Public Relations and Crisis Communication

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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