Using emotional appeal to encourage recycle and reuse behaviors.

IF 3.3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-07-16 DOI:10.1111/risa.70083
Janet Z Yang, Yifei He, Thomas Hugh Feeley
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引用次数: 0

Abstract

Based on a sample of U.S. adult participants (N = 1015), this messaging experiment reveals that a mock-up Instagram post highlighting the environmental impact of plastic waste was more effective in eliciting anger, disgust, and hopelessness than a message highlighting the health impact of plastic waste. These emotions, along with fear and anxiety, were positively associated with perceived risks of plastic waste to both human health and the environment. Together, emotional response to and cognitive evaluation of the risks motivated people to process the message in a thoughtful, deliberate manner, which contributed to attitudes and behavioral intention toward recycle and reuse. These findings suggest that persuasion intended to encourage recycle and reuse behaviors among American consumers should primarily focus on the environmental impact of plastic waste, while anger and disgust may be effective emotional appeals.

使用情感诉求来鼓励回收和再利用行为。
基于美国成年参与者的样本(N = 1015),这个信息实验表明,强调塑料垃圾对环境影响的Instagram模型帖子比强调塑料垃圾对健康影响的信息更能引起愤怒、厌恶和绝望。这些情绪,以及恐惧和焦虑,与感知到的塑料废物对人类健康和环境的风险呈正相关。对风险的情绪反应和认知评价共同激励人们以深思熟虑的方式处理信息,这有助于对回收和再利用的态度和行为意愿。这些发现表明,旨在鼓励美国消费者回收和再利用行为的说服应主要关注塑料垃圾对环境的影响,而愤怒和厌恶可能是有效的情感诉求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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