What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
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TLDR
To mitigate the spread of COVID-19 misinformation and cyberchondria, measures should be taken to enhance a healthy scepticism of health news while simultaneously guarding against information overload.Abstract:
The World Health Organisation has emphasised that misinformation – spreading rapidly through social media – poses a serious threat to the COVID-19 response. Drawing from theories of health percepti...read more
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Health Belief Model
TL;DR: This article presents an introduction to the Health Belief Model (HBM), which states that the perception of a personal health behavior threat is influenced by at least three factors: general health values, interest and concern about health; specific beliefs about vulnerability to a particular health threat; and beliefs about the consequences of the health problem.
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Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach
Samuli Laato,A. K. M. Najmul Islam,A. K. M. Najmul Islam,Ali Farooq,Amandeep Dhir,Amandeep Dhir,Amandeep Dhir +6 more
TL;DR: In this paper, the authors proposed a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation, and found a strong link between self-intention to self isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self isolation.
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An affordance perspective of team collaboration and enforced working from home during COVID-19
TL;DR: The affordance theory is contributed to by providing an understanding of the substitution of affordances for team collaboration during COVID-19 as various affordances of technology were perceived and actualised to sustain “business as usual”.
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Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective
TL;DR: In this article, the authors investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic, and they develop a model which they analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (N = 433).
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From information seeking to information avoidance: Understanding the health information behavior during a global health crisis
TL;DR: A model to understand the effect of information seeking, information sources, and information overload (Stimuli) on information anxiety (psychological organism), and consequent behavioral response, information avoidance during the global health crisis (COVID-19) is proposed.
References
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