谁愿意了解不平等?美国黑人和白人居民选择接触有关空气污染影响种族差异信息的预测因素。

IF 3 3区 医学 Q1 COMMUNICATION Health Communication Pub Date : 2024-10-28 DOI:10.1080/10410236.2024.2419192
Cassandra L C Troy, Chris Skurka, Helen H Joo, Rainer Romero-Canyas
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引用次数: 0

摘要

要解决健康差距问题,推动有效、公平的解决方案,需要广泛的公众意识。然而,在一个高选择性的媒体环境中,这只能在人们选择消费差异信息的范围内才能实现。本研究借鉴了选择性接触理论,利用一项预先登记的在线研究,对美国成年参与者进行了调查,以研究基于身份的选择性接触有关空气污染健康后果的种族差异信息的预测因素。研究结果表明,种族身份和环境正义意识是选择种族差异信息的关键预测因素,这可能是受信息效用和偏向同类信息的影响。总之,研究结果凸显了在受影响群体或已经充分了解信息的群体之外提高对差异的认识的难度,并强调了研究更具创造性的信息传递策略以扩大公众认识的必要性。
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Who is Willing to Learn About Inequality? Predictors of Choice Exposure to Messaging About Racial Disparities in Air Pollution Effects Among Black and White U.S. Residents.

Widespread public awareness is needed to address health disparities and push for effective and equitable solutions. However, in a high choice media environment, this can only be achieved to the extent that people opt to consume disparity messaging. Drawing on theories of selective exposure, the present research uses a pre-registered online study conducted with U.S. adult participants to examine identity-based predictors of choice exposure to a racial disparity message about the health consequences of air pollution. Findings indicate that racial identity and environmental justice awareness are key predictors of disparity message selection, likely motivated by information utility and a bias toward congenial information. Altogether, results underscore the difficulty of raising awareness of disparities beyond impacted or already well-informed groups and highlight the need to examine more creative messaging strategies in order to broaden public awareness.

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来源期刊
CiteScore
8.20
自引率
10.30%
发文量
184
期刊介绍: As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.
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