Posting environmental risk: Communicating with numerical and nonnumerical messaging across information modalities.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2025-02-05 DOI:10.1111/risa.17709
Megan L P Norman, Jiaqi Agnes Bao, Triwik Kurniasari, Chris Skurka
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引用次数: 0

Abstract

Risk communicators frequently engage members of the public through social media; therefore, it is important to understand how to effectively communicate risks about environmental and health issues. This experiment with U.S. adults (N = 737) explored how message features in risk-focused social media posts-namely, message modality (text-only posts or text with the inclusion of photographs or data presentations) and risk representation (numerical risk details or nonnumerical summaries of risk information)-influence risk perceptions, perceived message informativeness, and intentions to share the content. To do so, we drew from research on visual communication and research on numerical and nonnumerical representations of risk. We assessed the robustness of these effects across three environmental risk domains (asthma, heat waves, and vector-borne diseases). We found that compared to text-only messages, text with a data presentation (i.e., graph or table) led to enhanced risk perceptions, perceptions of informativeness, and sharing intentions. Relative to nonnumerical messages, numerical messages generated greater perceived risk, were rated as more informative, and elicited greater sharing intentions. Additionally, the effects of risk representation depended on participants' numeracy level, such that numerical messages (vs. nonnumerical) elicited greater sharing intentions and perceived informativeness among high-numeracy individuals but had no such effects for low-numeracy individuals. We also found some evidence that message effects on perceived informativeness differed based on risk topic. Our results suggest that communicators can consider designing social media risk messages with numerical details and data visualizations.

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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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