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健康错误信息反驳意见可信度感知的决定因素。

Determinants of the Perceived Credibility of Rebuttals Concerning Health Misinformation.

机构信息

School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China.

出版信息

Int J Environ Res Public Health. 2021 Feb 2;18(3):1345. doi: 10.3390/ijerph18031345.

DOI:10.3390/ijerph18031345
PMID:33540869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7908451/
Abstract

Users provide and share information with a broad audience on different forms of social media; however, information accuracy is questionable. Currently, the health information field is severely affected by misinformation. Thus, addressing health misinformation is integral for enhancing public health. This research can help relevant practitioners (i.e., government officials, medical and health service personnel, and educators) find the most effective correctional interventions for governing health misinformation. We constructed a theoretical model for credibility-oriented determinants refuting misinformation based on the elaboration likelihood model. We aggregated 415 pieces of valid data through a questionnaire survey. A partial least squares structural equation model evaluated this research model. The results indicated that both perceived information quality and perceived source credibility can enhance perceived information credibility. Under some circumstances, the influence of information quality on information credibility may be more important than that of the information source. However, the cognitive conflict and knowledge self-confidence of information receivers weaken the influence of information quality on information credibility. In contrast, cognitive conflict can strengthen the influence of source credibility on information credibility. Further, perceived information quality can be affected by information usefulness, understandability, and relevance, while perceived source reliability can be affected by source expertise and authority.

摘要

用户在不同形式的社交媒体上向广大受众提供和分享信息;然而,信息的准确性值得怀疑。目前,健康信息领域深受错误信息的影响。因此,解决健康错误信息对于提高公众健康至关重要。这项研究可以帮助相关从业者(即政府官员、医疗和卫生服务人员以及教育工作者)找到管理健康错误信息的最有效纠正干预措施。我们基于详尽可能性模型构建了一个针对可信度导向的错误信息驳斥决定因素的理论模型。我们通过问卷调查收集了 415 份有效数据。偏最小二乘结构方程模型评估了这个研究模型。结果表明,感知信息质量和感知来源可信度都可以增强感知信息可信度。在某些情况下,信息质量对信息可信度的影响可能比信息来源更重要。然而,信息接收者的认知冲突和知识自信会削弱信息质量对信息可信度的影响。相比之下,认知冲突可以增强来源可信度对信息可信度的影响。此外,感知信息质量可以受到信息有用性、可理解性和相关性的影响,而感知来源可靠性可以受到来源专业性和权威性的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/86cb5c5e7e9b/ijerph-18-01345-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/65b5a99814b0/ijerph-18-01345-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/a7b44e184084/ijerph-18-01345-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/86cb5c5e7e9b/ijerph-18-01345-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/65b5a99814b0/ijerph-18-01345-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/a7b44e184084/ijerph-18-01345-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2107/7908451/86cb5c5e7e9b/ijerph-18-01345-g003.jpg

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