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透明地沟通 COVID-19 疫苗的负面特征会降低其接受度,但会增加信任。

Transparent communication about negative features of COVID-19 vaccines decreases acceptance but increases trust.

机构信息

Department of Political Science, Aarhus University, Aarhus DK-8000, Denmark

Department of Political Science, Aarhus University, Aarhus DK-8000, Denmark.

出版信息

Proc Natl Acad Sci U S A. 2021 Jul 20;118(29). doi: 10.1073/pnas.2024597118. Epub 2021 Jul 2.

Abstract

During the rapid development and rolling out of vaccines against COVID-19, researchers have called for an approach of "radical transparency," in which vaccine information is transparently disclosed to the public, even if negative information can decrease vaccine uptake. Consistent with theories about the psychology of conspiracy beliefs, these calls predict that a lack of transparency may reduce trust in health authorities and may facilitate the spread of conspiracy theories, which may limit the long-term capabilities of health authorities during and after the pandemic. On the basis of preregistered experiments conducted on large, representative samples of Americans and Danes ( > 13,000), the current study contrasts the effects of vague vaccine communication with transparent communication, which discloses either positive or negative vaccine features. The evidence demonstrates that transparent negative communication may indeed harm vaccine acceptance here and now but that it increases trust in health authorities. Furthermore, the alternative of vague, reassuring communication does not increase vaccine acceptance either and leads to both lower trust and higher endorsement of conspiracy theories.

摘要

在 COVID-19 疫苗的快速研发和推广过程中,研究人员呼吁采取“彻底透明”的方法,即向公众透明地披露疫苗信息,即使负面信息可能会降低疫苗接种率。与关于阴谋论心理的理论一致,这些呼吁预测缺乏透明度可能会降低公众对卫生当局的信任,并可能促进阴谋论的传播,这可能会限制卫生当局在大流行期间和之后的长期能力。基于对美国和丹麦的大样本(>13000 人)进行的预先注册实验,本研究对比了含糊疫苗沟通和透明沟通的效果,透明沟通揭示了疫苗的积极或消极特征。证据表明,透明的负面沟通确实可能会损害当前的疫苗接种接受度,但它会增加对卫生当局的信任。此外,含糊且令人安心的沟通方式也不会增加疫苗接种率,反而会导致更低的信任度和更高的阴谋论认可度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e31/8307373/9e41e7b1d7ac/pnas.2024597118fig01.jpg

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