Fighting fake news in the COVID-19 era: policy insights from an equilibrium model
Kris Hartley () and
Minh Khuong Vu
Additional contact information
Kris Hartley: The Education University of Hong Kong
Minh Khuong Vu: National University of Singapore
Policy Sciences, 2020, vol. 53, issue 4, No 7, 735-758
Abstract:
Abstract The COVID-19 crisis has revealed structural failures in governance and coordination on a global scale. With related policy interventions dependent on verifiable evidence, pandemics require governments to not only consider the input of experts but also ensure that science is translated for public understanding. However, misinformation and fake news, including content shared through social media, compromise the efficacy of evidence-based policy interventions and undermine the credibility of scientific expertise with potentially longer-term consequences. We introduce a formal mathematical model to understand factors influencing the behavior of social media users when encountering fake news. The model illustrates that direct efforts by social media platforms and governments, along with informal pressure from social networks, can reduce the likelihood that users who encounter fake news embrace and further circulate it. This study has implications at a practical level for crisis response in politically fractious settings and at a theoretical level for research about post-truth and the construction of fact.
Keywords: Fake news; Policy sciences; Equilibrium model; COVID-19 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://link.springer.com/10.1007/s11077-020-09405-z Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:policy:v:53:y:2020:i:4:d:10.1007_s11077-020-09405-z
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11077/PS2
DOI: 10.1007/s11077-020-09405-z
Access Statistics for this article
Policy Sciences is currently edited by Michael Howlett
More articles in Policy Sciences from Springer, Society of Policy Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().