Explaining Health Misinformation Belief through News, Social, and Alternative Health Media Use: The Moderating Roles of Need for Cognition and Faith in Intuition

误传 社会化媒体 健康传播 心理学 社会心理学 直觉 认知 信仰 互联网隐私 政治学 计算机科学 沟通 认识论 哲学 神经科学 法学 认知科学
作者
Yuanyuan Wu,Ozan Kuru,Scott W. Campbell,Lemi Baruh
出处
期刊:Health Communication [Informa]
卷期号:38 (7): 1416-1429 被引量:28
标识
DOI:10.1080/10410236.2021.2010891
摘要

Explaining the spread and impact of health misinformation has garnered considerable attention with the uptake of social media and group messaging applications. This study contributes to that line of work by investigating how reliance on multiple digital media may help support or suppress misinformation belief, and how individual differences in misinformation susceptibility condition this process. Alternative health outlets (AH media), advocating home/homeopathic remedies over conventional medicine can be important sources of misinformation, yet are largely ignored previously. In this study, we first test how reliance on different platforms predicts health misinformation belief. Drawing from the elaboration likelihood model, we further investigate how need for cognition (NFC) and faith in intuition (FI) moderate the relationship between news reliance and susceptibility to misinformation. We conducted a survey in Singapore, Turkey, and the U.S (N = 3,664) to measure how these proposed relationships explain misinformed beliefs about vaccines, genetically modified foods and alternative medicine. We found reliance on online legacy news was negatively associated with the likelihood of believing health misinformation, while the reverse was true for social media and AH media. Additionally, those with both greater NFC and FI were more susceptible to health misinformation when they relied on social media and AH media more. In contrast, neither NFC nor FI moderated the relationship between reliance on online legacy news and health misinformation belief. These findings, mostly consistent across countries, also show that extensive reliance on social media and AH media for news mostly overwhelms the individual differences in predicting misinformation belief.
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