揭开社会规范的阴暗面--关于健康传播中社会规范挑战的研究议程。

IF 3 3区 医学 Q1 COMMUNICATION Health Communication Pub Date : 2024-11-01 Epub Date: 2023-12-26 DOI:10.1080/10410236.2023.2296190
Sarah Geber
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引用次数: 0

摘要

在健康危机传播中,社会规范是一种很有前途的手段,因为它可以指导集体行动以降低风险。然而,最近对 COVID-19 大流行的研究表明,社会规范可能并没有完全支持战略目标,甚至助长了阻碍降低风险的现象,使人们对社会规范运动的潜力产生了质疑。在 COVID-19 大流行期间,这一点在反对措施的替代规范、对违反规范者的污名化以及搭便车问题的出现上表现得最为明显。文章从社会认同和传播的角度分析了这些现象,并概述了在健康和危机传播方面需要进一步研究的领域。其目的是为专门研究社会规范阴暗面的研究议程铺平道路,以释放社会规范在(健康)危机时期的全部潜力。
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Unraveling the Dark Side of Social Norms-Toward a Research Agenda on the Challenges of Social Norms in Health Communication.

Social norms are a promising means in health crisis communication because they can guide collective action to reduce risk. However, recent research on the COVID-19 pandemic suggests that social norms may have not fully supported strategic goals and even contributed to phenomena that hindered risk reduction, calling into question the potential of social norms campaigns. This became most evident during the COVID-19 pandemic in the emergence of alternative norms of measure opposition, stigmatization of norm-deviant individuals, and the issue of free-riding. The article analyzes these phenomena from a social identity and communication perspective and outlines areas for further inquiry in health and crisis communication. The goal is to pave the way for a research agenda dedicated to the dark side of social norms to unlock the full potential of social norms in times of (health) crisis.

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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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