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红媒、蓝媒、特朗普简报和 COVID-19:通过威胁和效能考察信息来源如何预测风险预防行为。

Red Media, Blue Media, Trump Briefings, and COVID-19: Examining How Information Sources Predict Risk Preventive Behaviors via Threat and Efficacy.

机构信息

School of Journalism, Northeastern University.

Department of Communication, Boston College.

出版信息

Health Commun. 2022 Dec;37(14):1707-1714. doi: 10.1080/10410236.2021.1914386. Epub 2021 Apr 23.


DOI:10.1080/10410236.2021.1914386
PMID:33890517
Abstract

Upon the growing concern over a massive infodemic and politicization of health issues during the COVID-19 pandemic, this study investigated how individuals' use of partisan media and Trump briefings, along with other information sources, predicts risk preventive behaviors. Drawing on the Extended Parallel Process Model (EPPM), our survey analysis (= 1,106) revealed that those obtaining COVID-19 information from conservative media and Trump briefings were less likely to believe that COVID-19 is a serious threat (perceived threat) and that recommended preventive behaviors are effective and feasible (perceived efficacy). These beliefs, in turn, resulted in their decreased intentions to adopt risk preventative behaviors. In contrast, those who got COVID-19 information from liberal media, health organizations' briefings, and traditional media reported heightened threat and efficacy perception, which, in turn, led to their willingness to take risk preventive actions.

摘要

在 COVID-19 大流行期间,人们越来越关注信息泛滥和健康问题政治化,本研究调查了个人使用党派媒体和特朗普简报以及其他信息来源如何预测风险预防行为。本研究基于扩展平行处理模型(EPPM),通过调查分析(= 1106)发现,那些从保守派媒体和特朗普简报中获取 COVID-19 信息的人不太可能认为 COVID-19 是严重威胁(感知威胁),也不太可能认为推荐的预防措施是有效和可行的(感知效能)。这些信念反过来又导致他们减少了采取风险预防行为的意愿。相比之下,那些从自由派媒体、卫生组织简报和传统媒体获取 COVID-19 信息的人则报告说,他们对威胁和效能的感知有所增强,这反过来又使他们愿意采取风险预防措施。

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Red Media, Blue Media, Trump Briefings, and COVID-19: Examining How Information Sources Predict Risk Preventive Behaviors via Threat and Efficacy.

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引用本文的文献

[1]
Portrayal of risk information and its impact on audiences' risk perception during the Covid-19 pandemic: A multi-method approach.

Risk Anal. 2025-6

[2]
Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study.

JMIR Infodemiology. 2024-8-29

[3]
Risk perceptions and behaviors concerning rural tourism and economic-political drivers of COVID-19 policy in 2020.

PLoS One. 2024

[4]
COVID-19 information seeking and individuals' protective behaviors: examining the role of information sources and information content.

BMC Public Health. 2024-1-29

[5]
Endorsement of COVID-19 misinformation among criminal legal involved individuals in the United States: Prevalence and relationship with information sources.

PLoS One. 2024

[6]
Polarized Perspectives on Health Equity: Results from a Nationally Representative Survey on US Public Perceptions of COVID-19 Disparities in 2023.

J Health Polit Policy Law. 2024-6-1

[7]
Communication inequalities in the COVID-19 pandemic: socioeconomic differences and preventive behaviors in the United States and South Korea.

BMC Public Health. 2023-7-5

[8]
Constituents' Inferences of Local Governments' Goals and the Relationship Between Political Party and Belief in COVID-19 Misinformation: Cross-sectional Survey of Twitter Followers of State Public Health Departments.

JMIR Infodemiology. 2022-2-10

[9]
How Trust in Cancer Information Has Changed in the Era of COVID-19: Patterns by Race and Ethnicity.

J Health Commun. 2023-3-4

[10]
What drives the vaccination intention against COVID-19? Application of EPPM, TAM, and theories of risk assessment.

Hum Vaccin Immunother. 2023-12-31

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