Online vaccine misinformation and susceptible publics: Understanding the differences between misinformation-immune, -vulnerable, -receptive, and -amplifying publics’ perceptions and behavioral intentions

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2025-04-25 DOI:10.1016/j.tele.2025.102279

Arunima Krishna , Michelle A. Amazeen , Rob Eschmann

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引用次数: 0

Abstract

As misinformation, particularly on social media, continues to be a social problem, a growing body of literature seeks to understand how to correct such messages. This study sought to understand the four misinformation-susceptible publics’ perceptions of messages designed to correct misinformation, and their resultant behavioral intentions. Using data from two studies, one based on MMR vaccine misinformation (N = 1067) and the second on Covid-19 vaccine misinformation (N = 1697), this study served to use the typology of misinformation-susceptible publics across two issues that have been subjected to extensive misinformation in both mainstream and social media. As expected, misinformation-amplifying publics were found to be least receptive to misinformation correction messages compared to the other three groups and reported the lowest likelihood of getting vaccinated. The implications of this work for theory and practice are discussed (135 words).

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在线疫苗错误信息和易感公众：了解错误信息免疫、易受伤害、接受和放大公众的感知和行为意图之间的差异

由于错误信息，特别是社交媒体上的错误信息，仍然是一个社会问题，越来越多的文献试图了解如何纠正这些信息。本研究试图了解四种易受错误信息影响的公众对旨在纠正错误信息的信息的感知，以及他们由此产生的行为意图。本研究使用了两项研究的数据，一项是基于MMR疫苗错误信息（N = 1067），另一项是关于Covid-19疫苗错误信息（N = 1697），该研究旨在利用易受错误信息影响的公众的类型，解决两个问题，这些问题在主流和社交媒体上都受到了广泛的错误信息。正如预期的那样，与其他三组相比，放大错误信息的公众最不容易接受错误信息更正信息，并且报告接种疫苗的可能性最低。讨论了本研究对理论和实践的意义（135字）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.