TY - JOUR
T1 - Crises social sensing
T2 - longitudinal monitoring of social perceptions of systemic risk during public health crisis
AU - Gaspar, Rui
AU - Domingos, Samuel
AU - Toscano, Hugo
AU - Filipe, Jessica
AU - Leiras, Gisela
AU - Raposo, Beatriz
AU - Pereira, Cícero
AU - Godinho, Cristina
AU - Francisco, Rita
AU - Silva, Claudia
AU - Arriaga, Miguel Telo de
N1 - Funding Information:
Part of the work was financed by the National Funds provided by the Portuguese Foundation for Science and Technology (FCT) through the project ‘ResiliScence 4 COVID-19: Social Sensing & Intelligence for Forecasting Human Response in Future COVID-19 Scenarios, towards Social Systems Resilience’ (Research 4 COVID-19–Project n. 439; Principal Investigator: Rui Gaspar). The second author’s work is funded by the Foundation for Science and Technology (Fundação para a Ciência e a Tecnologia–FCT) with the grant PD/BD/128512/2017. William James Centre for Research is supported by the FCT Grant No. UID/PSI/04810/2013.
Publisher Copyright:
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023
Y1 - 2023
N2 - Monitoring how different people – as ‘social sensors’ – evaluate and respond to crisis such as pandemics, allows tailoring crisis communication to the social perceptions of the situation, at different moments. To gather such evidence, we proposed a index of social perceptions of systemic risk (SPSR), as an indicator of a situational threat compromising risks to physical health, psychological health, the economy, social relations, health system, and others. This indicator was the core of a social sensing approach applied to crisis situations, implemented during the COVID-19 pandemic through a content analysis of more than 130.000 public comments from Facebook™ users, in COVID-19 related publications. This content coding allowed creating a SPSR index monitored during a one-year descriptive longitudinal analysis. This index correlated with co-occurring events within the social system, namely epidemiological indicators across measurement cycles (e.g. new deaths; cumulative number of infection cases; Intensive Care Unit hospitalizations) and tended to reflect the epidemiological situation severity (e.g. with the highest level registered during the worst pandemic wave). However, discrepancies also occurred, with high SPSR registered in a low severity situation, i.e. low number of hospitalizations and deaths (e.g. school year beginning), or low SPSR in a high severity situation (e.g. 2nd pandemic wave during Christmas), showing other factors beyond the epidemiological situation contributing to the social perceptions. After each ‘crisis period’ with SPSR peaking, there was a ‘restoration period’, consistently decreasing towards average levels of the previous measurement cycle. This can either indicate social resilience (recovery and resources potentiation) or risk attenuation after a high-severity period. This study serves as preliminary proof of concept of a crises social sensing approach, enabling monitoring of social system dynamics for various crisis types, such as health crisis or the climate crisis.
AB - Monitoring how different people – as ‘social sensors’ – evaluate and respond to crisis such as pandemics, allows tailoring crisis communication to the social perceptions of the situation, at different moments. To gather such evidence, we proposed a index of social perceptions of systemic risk (SPSR), as an indicator of a situational threat compromising risks to physical health, psychological health, the economy, social relations, health system, and others. This indicator was the core of a social sensing approach applied to crisis situations, implemented during the COVID-19 pandemic through a content analysis of more than 130.000 public comments from Facebook™ users, in COVID-19 related publications. This content coding allowed creating a SPSR index monitored during a one-year descriptive longitudinal analysis. This index correlated with co-occurring events within the social system, namely epidemiological indicators across measurement cycles (e.g. new deaths; cumulative number of infection cases; Intensive Care Unit hospitalizations) and tended to reflect the epidemiological situation severity (e.g. with the highest level registered during the worst pandemic wave). However, discrepancies also occurred, with high SPSR registered in a low severity situation, i.e. low number of hospitalizations and deaths (e.g. school year beginning), or low SPSR in a high severity situation (e.g. 2nd pandemic wave during Christmas), showing other factors beyond the epidemiological situation contributing to the social perceptions. After each ‘crisis period’ with SPSR peaking, there was a ‘restoration period’, consistently decreasing towards average levels of the previous measurement cycle. This can either indicate social resilience (recovery and resources potentiation) or risk attenuation after a high-severity period. This study serves as preliminary proof of concept of a crises social sensing approach, enabling monitoring of social system dynamics for various crisis types, such as health crisis or the climate crisis.
KW - COVID-19
KW - SARS-CoV-2
KW - Crises
KW - Crisis communication
KW - Social sensing
KW - Systemic risks
UR - http://www.scopus.com/inward/record.url?scp=85147440776&partnerID=8YFLogxK
U2 - 10.1080/13669877.2023.2170450
DO - 10.1080/13669877.2023.2170450
M3 - Article
SN - 1366-9877
VL - 26
SP - 345
EP - 366
JO - Journal of Risk Research
JF - Journal of Risk Research
IS - 4
ER -