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Pandemic news information uncertainty-News dynamics mirror differential response strategies to COVID-19.

Kristoffer L NielboKenneth EnevoldsenRebekah BagliniElena FanoAndreas RoepstorffJianbo Gao
Published in: PloS one (2023)
National differences in uncertainty, inequality, and trust have been accentuated by COVID-19. There are indications that the pandemic has impacted societies characterized by high uncertainty, inequality, and low trust harder than societies characterized by low uncertainty, equality, and high trust. This study investigates differential response strategies to COVID-19 as reflected in news media of two otherwise similar low uncertainty societies: Denmark and Sweden. The comparison is made using a recent approach to information dynamics in unstructured data. The main findings are that the news dynamics generally mirror public-health policies, capture fundamental socio-cultural variables related to uncertainty and trust, and may provide a measure of societal uncertainty. The findings can provide insights into evolutionary trajectories of decision-making under high uncertainty and, from a methodological level, be used to develop a media-based index of uncertainty and trust.
Keyphrases
  • coronavirus disease
  • sars cov
  • public health
  • health information
  • decision making
  • depressive symptoms
  • gene expression
  • deep learning
  • electronic health record
  • big data