gain loss framing
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2021 ◽  
Vol 185 ◽  
pp. 107009
Author(s):  
Lea S. Svenningsen ◽  
Bo Jellesmark Thorsen

2021 ◽  
Author(s):  
Jordan Steffen ◽  
Jiuqing Cheng

The COVID-19 pandemic has caused millions of cases and over half a million deaths in the United States. While health experts urge citizens to adopt preventative measures such as social distancing and wearing a mask, these recommended behaviors are not always followed by the public. To find a way to promote preventative measures, the present study examined the role of gain-loss framing of COVID-19 related messages on social distancing and mask wearing compliance. Moreover, the study also tested potential moderating effects on framing with three individual characteristics: political ideology, subjective numeracy, and risk attitude. A sample of 375 U.S. adult residents were recruited from Amazon Mechanical Turk. Each participant read either a gain or loss-framed message related to practicing protective behaviors during the COVID-19 pandemic. Participants also completed scales of preventative behaviors, risk attitude, subjective numeracy, political ideology, and other demographic variables. It was found that those who were more liberal, risk-averse and had greater subjective numeracy were more likely to wear a mask and/or follow social distancing. Furthermore, in the presence of demographic and psychological factors, the study found participants in the loss-framed condition than in the gain-framed condition were more likely to adopt both preventative measures, supporting the notion of loss aversion. Additionally, the framing effect was also moderated by political ideology on mask-wearing, with the effect being stronger in liberals than in conservatives. Collectively, the study implies message framing may be a useful means to promote preventative measures in the current pandemic.


Author(s):  
Ilona Fridman ◽  
Angela Fagerlin ◽  
Karen A. Scherr ◽  
Laura D. Scherer ◽  
Hanna Huffstetler ◽  
...  

2020 ◽  
Vol 121 ◽  
pp. 232-251
Author(s):  
Susann Fiedler ◽  
Adrian Hillenbrand

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 182550-182563
Author(s):  
Priscilla Tiffany ◽  
Ave A. Pinem ◽  
Achmad Nizar Hidayanto ◽  
Sherah Kurnia

2019 ◽  
Vol 90 (5) ◽  
pp. 1569-1578 ◽  
Author(s):  
Chi T. Ngo ◽  
Nora S. Newcombe ◽  
Ingrid R. Olson

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