研究数字信息环境、信息处理和假定影响对亚洲对 COVID-19 错误信息的行为反应的影响

Ran Wei, V. Lo, Xiao Zhang, Miao Lu, Jack Linchuan Qiu
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引用次数: 0

摘要

本研究从假定影响(IPI)框架出发,探讨了社交媒体上有关 COVID-19 的错误信息的接触、感知和行为反应。为了了解一个社会的数字信息环境如何影响大流行病误导信息的传播和应对,我们选择了四个文化相似的亚洲城市--北京、香港、新加坡和台北--产生了 4094 个受访者样本。我们的研究结果表明了一个悖论--这四个城市的受访者获得的信息越多,他们就越不可能看到 COVID-19 上的错误信息,也就越不可能不加解释地将其视为真实信息。此外,本研究还扩展了 IPI 理论,证明负面情绪是感知到的社会影响与行为意向之间的中介机制。也就是说,受访者认为错误信息的危害性越大,他们对错误信息的负面情绪就越大,从而导致采取限制、促进和纠正行动的可能性越大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the impact of digital information environments, information processing, and presumed influence on behavioral responses to COVID-19 misinformation in Asia
This study examines exposure to, perception of, and behavioral responses to misinformation about COVID-19 on social media from the influence of presumed influence (IPI) framework. To understand how the digital information environment of a society shapes the spread and responses to pandemic misinformation, four culturally similar Asian cities—Beijing, Hong Kong, Singapore, and Taipei—were selected, generating a sample of 4094 respondents. Our findings suggest a paradox—the more information respondents in the four cities have access to, the less likely they are to view misinformation on COVID-19 and accept it as true without elaboration. Moreover, the study extends IPI theory by demonstrating negative emotions as a mechanism that mediates the relationship between perceived social impact and behavioral intentions. That is, the more respondents perceived misinformation to be harmful, the more negatively they felt about misinformation, which led to greater likelihood of taking restrictive, promotional, and corrective actions.
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