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. 2021 Feb 3;16(2):e0245100.
doi: 10.1371/journal.pone.0245100. eCollection 2021.

The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic

Affiliations

The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic

Ahmad Abu-Akel et al. PLoS One. .

Abstract

It is urgent to understand how to effectively communicate public health messages during the COVID-19 pandemic. Previous work has focused on how to formulate messages in terms of style and content, rather than on who should send them. In particular, little is known about the impact of spokesperson selection on message propagation during times of crisis. We report on the effectiveness of different public figures at promoting social distancing among 12,194 respondents from six countries that were severely affected by the COVID-19 pandemic at the time of data collection. Across countries and demographic strata, immunology expert Dr. Anthony Fauci achieved the highest level of respondents' willingness to reshare a call to social distancing, followed by a government spokesperson. Celebrity spokespersons were least effective. The likelihood of message resharing increased with age and when respondents expressed positive sentiments towards the spokesperson. These results contribute to the development of evidence-based knowledge regarding the effectiveness of prominent official and non-official public figures in communicating public health messaging in times of crisis. Our findings serve as a reminder that scientific experts and governments should not underestimate their power to inform and persuade in times of crisis and underscore the crucial importance of selecting the most effective messenger in propagating messages of lifesaving information during a pandemic.

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Conflict of interest statement

AA and RW received funding by a grant from the EPFL/UNIL Collaborative Research on Science and Society (CROSS) Program. RW received financial support from the Swiss Data Science Center and by grant 200021_185043 from the Swiss National Science Foundation. RW was in part supported by a gift from Google and Facebook. Reception of these gifts does not alter our adherence to PLOS ONE policies on sharing data and materials. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Figures

Fig 1
Fig 1. Temporal context of the study.
Shown are the dates at which key social distancing measures were announced on a national level by countries in the study. The time frame of data collection (March 24–30, 2020) is highlighted in gray. Empty bars indicate that no action was announced or taken by the national government (for comparability between federal states and unitary states, we only considered announcements by the federal government in federated countries, even though there may have been actions on a local, city, or state level). For a detailed list of these government announcements, see SC Appendix in S1 File.
Fig 2
Fig 2. Correlation matrix of all study variables.
Significance threshold is Bonferroni-corrected, p < 3.3x10-4. Empty cell = non-significant correlation; SD = Social distancing; Num. = Number.
Fig 3
Fig 3. Main effects of spokesperson, country and age group on message sharing.
(a) Message sharing score on a 1–7 Likert scale. Error bars represent 95% CIs. (b) Corresponding, color-coded significant pairwise comparisons, accounting for multiple comparisons via sequential Bonferroni correction. Only significant comparisons are shown. The results show that the medical spokesperson Dr. Fauci achieved the highest level of respondents’ willingness to reshare a call to social distancing, whereas celebrity spokesperson Kim Kardashian was least effective. Celebrity spokesperson Tom Hanks, the Government, and the no-spokesperson conditions took a middle ground. The likelihood of message resharing increased with age and when respondents expressed positive sentiments towards the spokesperson.
Fig 4
Fig 4. Country-by-spokesperson interaction on message sharing.
(a) Message sharing score on a 1–7 Likert scale. Error bars represent 95% CIs. (b) Corresponding, color-coded significant pairwise comparisons, accounting for multiple comparisons via sequential Bonferroni correction. Only significant comparisons are shown.
Fig 5
Fig 5. Spokesperson-by-age-group interaction on message sharing.
(a) Message sharing score on a 1–7 Likert scale. Error bars represent 95% CIs. (b) Corresponding, color-coded significant pairwise comparisons, accounting for multiple comparisons via sequential Bonferroni correction. Only significant comparisons are shown.
Fig 6
Fig 6. Spokesperson-by-likeability interaction on message sharing.
(a) Message sharing score as the standardized residual of the message sharing scores (on a 1–7 Likert scale), adjusted for all demographic and attitudinal measures (see Materials and methods: Statistical analyses). Error bars represent 95% CIs. The dashed black line (95% CI, gray band) represents the effect for the no-spokesperson condition, for which a likeability could not be elicited. (b) Corresponding, color-coded significant pairwise comparisons, accounting for multiple comparisons via sequential Bonferroni correction. Only significant comparisons are shown.

References

    1. Betsch C. How behavioural science data helps mitigate the COVID-19 crisis. Nat Hum Behav. 2020. 10.1038/s41562-020-0866-1 - DOI - PMC - PubMed
    1. Wilder-Smith A, Freedman DO. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. 2020. 10.1093/jtm/taaa020 - DOI - PMC - PubMed
    1. Buckee CO, Balsari S, Chan J, Crosas M, Dominici F, Gasser U, et al. Aggregated mobility data could help fight COVID-19. Science. 2020. 10.1126/science.abb8021 - DOI - PubMed
    1. Kissler SM, Tedijanto C, Goldstein E, Grad YH, Lipsitch M, Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science. 2020. 10.1126/science.abb5793 - DOI - PMC - PubMed
    1. DiGiovanni C, Conley J, Chiu D, Zaborski J. Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak. Biosecur Bioterror. 2004. 10.1089/bsp.2004.2.265 - DOI - PubMed

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