EconPapers    
Economics at your fingertips  
 

Persuasiveness of Public Health Communication During the COVID-19 Pandemic: Message Framing, Threat Appraisal, and Source Credibility Effects

Natalia Stanulewicz-Buckley () and Edward Cartwright
Additional contact information
Natalia Stanulewicz-Buckley: School of Psychology, Aston University, Birmingham B4 7ET, UK

IJERPH, 2024, vol. 22, issue 1, 1-29

Abstract: This study examines the relative effectiveness of the UK government’s public health messages used during the first wave of the COVID-19 pandemic. We focus on the use of a loss versus gain frame. We look at the effect of framing on behavioural inclination to follow COVID-19 guidance, as well as affective mechanisms and individual characteristic moderators that might explain said willingness. We ran two studies with a voluntary sample of the UK adult population (total n = 300). Across both studies, we only find a significant impact of message framing on the level of negative affect triggered, with the loss frame triggering a higher negative affect. Instead, attitude to public health communication had a direct and indirect effect on behavioural inclination. Our results suggest that threat minimisation and satisfaction with authorities handling a health crisis might be key to consider when developing effective public health communications.

Keywords: health communication; pandemic; loss/gain framing; affect; persuasion; attitude; source credibility; COVID-19 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/22/1/30/pdf (application/pdf)
https://www.mdpi.com/1660-4601/22/1/30/ (text/html)

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:gam:jijerp:v:22:y:2024:i:1:p:30-:d:1555928

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-22
Handle: RePEc:gam:jijerp:v:22:y:2024:i:1:p:30-:d:1555928