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Experience, experts, statistics, or just science? Predictors and consequences of reliance on different evidence types during the COVID-19 infodemic

机译:经验,专家,统计或科学? 在Covid-19 infoM患者期间依赖不同证据类型的预测和后果

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摘要

As an unprecedented global disease outbreak, the COVID-19 pandemic is also accompanied by an infodemic. To better cope with the pandemic, laypeople need to process information in ways that help guide informed judgments and decisions. Such information processing likely involves the reliance on various evidence types. Extending the Risk Information Seeking and Processing model via a two-wave survey (N = 1284), we examined the predictors and consequences of US-dwelling Chinese's reliance on four evidence types (i.e. scientific, statistical, experiential, and expert) regarding COVID-19 information. Overall, Risk Information Seeking and Processing variables such as information insufficiency and perceived information gathering capacity predicted the use of all four evidence types. However, other Risk Information Seeking and Processing variables (e.g. informational subjective norms) did not emerge as important predictors. In addition, different evidence types had different associations with subsequent disease prevention behaviors and satisfaction with the US government's action to address the pandemic. Finally, discrete emotions varied in their influences on the use of evidence types, behaviors, and satisfaction. The findings provide potentially valuable contributions to science and health communication theory and practice.
机译:作为前所未有的全球疾病爆发,Covid-19大流行也伴有映射症。为了更好地应对大流行,Paypeople需要以帮助指导知情判决和决定的方式处理信息。此类信息处理可能涉及依赖各种证据类型。通过双波测量扩展风险信息寻求和处理模型(N = 1284),我们审查了美国 - 居民依赖于四种证据类型(即科学,统计,体验和专家)关于Covid-的预测和后果 - 19个信息。总体而言,诸如信息不足和感知信息收集能力的风险信息寻求和处理变量预测了所有四种证据类型的使用。然而,寻求和处理变量的其他风险信息(例如信息主观规范)并没有成为重要的预测因子。此外,不同的证据类型与随后的疾病预防行为以及对美国政府的行动解决大流行的行动的满意度不同。最后,离散情绪在他们对利用证据类型,行为和满足的情况下的影响方面变化。该调查结果为科学和健康沟通理论和实践提供了潜在的有价值的贡献。

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