| Literature DB >> 33828501 |
Abstract
This research responds to urgent calls to fill knowledge gaps on COVID-19 (new coronavirus) in communicating social distancing messages to the public in the most convincing ways. The authors explore the effectiveness of framing social distancing messages around prosocial vs. self-interested appeals in driving message compliance and helping behavior. The results show that when a message emphasizes benefits for everyone in society, rather than solely for the individual, citizens find the message more persuasive to engage in social distancing, and also more motivating to help others. The results further demonstrate that the proposed effects are higher for individuals who have a lower locus of control and lower fear of coronavirus as prosocial messages lead them to feel a joint responsibility in protecting from the pandemic. Theoretical and practical implications of the results are discussed.Entities:
Keywords: COVID-19; experiment; helping; message framing; prosocial motives; self-interested motives; social distancing and stay-at-home orders
Year: 2021 PMID: 33828501 PMCID: PMC8019916 DOI: 10.3389/fpsyg.2021.579164
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Effect of message type x fear of coronavirus on persuasiveness of the message to stay at home.
Figure 2Effect of message type x fear of coronavirus on how much the message motivates individuals to help others.
Regression results for the mediation analysis on persuasiveness of the message to stay at home in study 2.
| Direct effect of X on Y | 0.10 | 0.47 | 0.21 |
| Direct effect of Mo on Y | 0.19 | 0.10 | 1.90 |
| Direct effect of X × Mo on Y | −0.21 | 0.15 | −1.43 |
| Direct effect of Me on Y | 0.55 | 0.05 | 10.17 |
X is the message type (i.e., the independent variable), Mo is fear of coronavirus (i.e., the moderator), Me is feeling joint responsibility to protect from coronavirus (i.e., the mediator), and Y is persuasiveness of the message to stay at home (i.e., the dependent variable). X × Mo is the moderated effect of message type on Y.
p < 0.1,
p < 0.01.
Regression results for the mediation analysis on how much the message motivates individuals to help others in study 2.
| Direct effect of X on Y | 1.34 | 0.47 | 2.88 |
| Direct effect of Mo on Y | 0.40 | 0.10 | 4.03 |
| Direct effect of X × Mo on Y | −0.32 | 0.14 | −2.22 |
| Direct effect of Me on Y | 0.39 | 0.05 | 7.24 |
X is the message type (i.e., the independent variable), Mo is fear of coronavirus (i.e., the moderator), Me is feeling joint responsibility to protect from coronavirus (i.e., the mediator), and Y is how much the message motivates individuals to help others (i.e., the dependent variable). X × Mo is the moderated effect of message type on Y.
p < 0.05,
p < 0.01.
Figure 3Effect of message type x locus of control on persuasiveness of the message to keep a physical distance with others.
Figure 4Effect of message type x locus of control on how much the message motivates individuals to help others.
Regression results for the mediation analysis on persuasiveness of the message to keep a physical distance with others in study 3.
| Direct effect of X on Y | −0.13 | 0.78 | −0.17 |
| Direct effect of Mo on Y | 0.15 | 0.14 | 1.08 |
| Direct effect of X × Mo on Y | −0.09 | 0.19 | −0.48 |
| Direct effect of Me on Y | 0.63 | 0.05 | 11.82 |
X is the message type (i.e., the independent variable), Mo is locus of control (i.e., the moderator), Me is feeling joint responsibility to protect from coronavirus (i.e., the mediator), and Y is persuasiveness of the message to keep a physical distance with others (i.e., the dependent variable). X × Mo is the moderated effect of message type on Y.
p < 0.01.
Regression results for the mediation analysis on how much the message motivates individuals to help others in study 3.
| Direct effect of X on Y | 1.42 | 0.93 | 1.52 |
| Direct effect of Mo on Y | 0.50 | 0.17 | 2.89 |
| Direct effect of X × Mo on Y | −0.38 | 0.23 | −1.71 |
| Direct effect of Me on Y | 0.52 | 0.06 | 8.05 |
X is the message type (i.e., the independent variable), Mo is locus of control (i.e., the moderator), Me is feeling joint responsibility to protect from coronavirus (i.e., the mediator), and Y is how much the message motivates individuals to help others (i.e., the dependent variable). X × Mo is the moderated effect of message type on Y.
p < 0.1,
p < 0.01.
Summary of all findings in studies 2 and 3.
| H1a, H1b, and H3a are supported | Message compliance DV | β = 1.33, SE = 0.56, | β = 0.82, SE = 0.33, | β = 0.50, SE = 0.24, | β = −0.02, SE = 0.33, | 0.53 to 1.17 |
| H2a, H2b, and H3b are supported | Helping DV | β = 2.21, SE = 0.51, | β = 1.58, SE = 0.30, | β = 1.18, SE = 0.22, | β = 0.55, SE = 0.30, | 0.34 to 0.88 |
| H1a, H1c, and H3c are supported | Message compliance DV | β = 2.36, SE = 0.97, | β = 0.90, SE = 0.32, | β = 0.41, SE = 0.23, | β = 0.03, SE = 0.30, | −0.70 to −0.10 |
| H2a, H2c, and H3d are supported | Helping DV | β = 3.45, SE = 1.03, | β = 1.33, SE = 0.34, | β = 0.62, SE = 0.24, | β = 0.07, SE = 0.32, | −0.60 to −0.08 |
p < 0.1,
p < 0.05,
p < 0.01.