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“福奇效应”:通过真实的多模态干预减少对新冠病毒的误解和疫苗犹豫情绪

The 'Fauci Effect': Reducing COVID-19 misconceptions and vaccine hesitancy using an authentic multimodal intervention.

作者信息

Johnson Victoria, Butterfuss Reese, Kim Jasmine, Orcutt Ellen, Harsch Rina, Kendeou Panayiota

机构信息

University of Minnesota, United States.

Arizona State University, United States.

出版信息

Contemp Educ Psychol. 2022 Jul;70:102084. doi: 10.1016/j.cedpsych.2022.102084. Epub 2022 Jun 23.

Abstract

Social media environments enable users to proliferate misinformation surrounding COVID-19. Expert sources, such as Dr. Anthony Fauci have leveraged social media to present corrective multimedia messages. However, little is known about the efficacy of these messages in revising common misconceptions about COVID-19 and influencing behavior. In this study, we examined the efficacy of a multimodal intervention using authentic social media messages that directly addressed common COVID-19 misconceptions. Going further, we identified individual differences that influenced the effectiveness of the intervention, as well as whether those factors predicted individuals' willingness to receive a COVID-19 vaccine. The results showed that the intervention was successful in increasing knowledge when compared to a baseline control. Those who were older and reported less vaccine hesitancy showed greater learning from the intervention. Factors that significantly predicted intention to vaccinate included receiving the intervention, vaccine confidence, vaccine hesitancy, prior flu vaccination history, age, and fear of COVID-19. These findings indicate that multimodal messages can be effectively leveraged in social media to both fight misinformation and increase intention to be vaccinated - however, these interventions may not be as effective for all individuals.

摘要

社交媒体环境使新冠疫情相关的错误信息得以迅速传播。像安东尼·福奇博士这样的专家利用社交媒体发布纠正性的多媒体信息。然而,对于这些信息在纠正关于新冠疫情的常见误解以及影响行为方面的效果,我们却知之甚少。在本研究中,我们检验了一种多模式干预措施的效果,该措施使用真实的社交媒体信息直接针对常见的新冠疫情误解。进一步而言,我们确定了影响干预效果的个体差异,以及这些因素是否能预测个体接种新冠疫苗的意愿。结果显示,与基线对照组相比,该干预措施在增加知识方面取得了成功。年龄较大且表示对疫苗犹豫程度较低的人从干预措施中学到的更多。显著预测接种意愿的因素包括接受干预、对疫苗的信心、对疫苗的犹豫程度、既往流感疫苗接种史、年龄以及对新冠疫情的恐惧。这些发现表明,多模式信息可以在社交媒体中得到有效利用,既能对抗错误信息,又能提高接种意愿——然而,这些干预措施可能并非对所有人都同样有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/037f/9221368/1c23c0a2bcf6/gr1_lrg.jpg

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