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Pandemic news information uncertainty-News dynamics mirror differential response strategies to COVID-19.
Nielbo, Kristoffer; Enevoldsen, Kenneth; Baglini, Rebekah; Fano, Elena; Roepstorff, Andreas; Gao, Jianbo.
  • Nielbo K; Center for Humanities Computing Aarhus, Aarhus University, Aarhus, Denmark.
  • Enevoldsen K; Interacting Minds Centre, Aarhus University, Aarhus, Denmark.
  • Baglini R; Center for Humanities Computing Aarhus, Aarhus University, Aarhus, Denmark.
  • Fano E; Center for Humanities Computing Aarhus, Aarhus University, Aarhus, Denmark.
  • Roepstorff A; Interacting Minds Centre, Aarhus University, Aarhus, Denmark.
  • Gao J; National Library of Sweden, Stockholm, Sweden.
PLoS One ; 18(1): e0278098, 2023.
Article in English | MEDLINE | ID: covidwho-2243774
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0278098

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0278098