Effects of temporal framing and hazard experience on receptivity to hurricane risk messages: A survey of U.S. Gulf Coast residents
Open Access
- 1 December 2022
- journal article
- research article
- Published by Frontiers Media SA in Frontiers in Communication
- Vol. 7
Abstract
Introduction: As knowledge in the scientific community increases regarding how anthropogenic CO2 loading of the atmosphere will impact future hurricane activity, the need for effective and accurate communication of hurricane risk in coastal communities—specifically to non-scientific stakeholders—also increases.Methods: To better inform hurricane risk communication, this study employs a survey of U.S. Gulf Coast residents immediately following the active 2017 hurricane season to consider how message framing (as established by communicator word choice) and stakeholders' experience may affect receptivity to hurricane hazard information. Specifically, it tests how respondents' perceptions of hurricane risk varied with prior experience and following exposure to randomly assigned, infographic-based depictions of trends in major hurricane (≥ category 3, Saffir Simpson Scale) frequency. The set of randomly assigned infographics varied in both temporal framing (past-to-present trends based on paleo data versus present-to-future trends based on climate projections) and causal framing (‘climate change' versus ‘ocean and atmospheric change').Results: Damaging hurricane experience may be associated with a tendency towards increasing hurricane risk perceptions after viewing the infographics. For framing effects, temporal framing of hurricane risk messages matters, with forward-looking framings (future projections) causing increased perceptions of risk and storm frequency; effects of causal framing were not significant. The results also show that Gulf Coast residents tend to be more optimistic about the future frequency of major hurricanes than most scientists and, consistent with confirmation and optimism biases, are somewhat resistant to changing their prior risk beliefs based on infographic exposure.Discussion: These results suggest that future projections – rather than paelo analogs – may be best for quickly communicating expected increases in hurricane risk. Communicators should consider these factors when translating scientific hurricane risk information to the public.Keywords
Funding Information
- Texas A and M University Galveston
This publication has 52 references indexed in Scilit:
- Dynamical Downscaling Projections of Twenty-First-Century Atlantic Hurricane Activity: CMIP3 and CMIP5 Model-Based ScenariosJournal of Climate, 2013
- Risk interpretation and action: A conceptual framework for responses to natural hazardsInternational Journal of Disaster Risk Reduction, 2012
- The Effect of Proximity to Hurricanes Katrina and Rita on Subsequent Hurricane Outlook and Optimistic BiasRisk Analysis, 2011
- The Role of Emotions in Risk CommunicationRisk Analysis, 2010
- A Caution Regarding Rules of Thumb for Variance Inflation FactorsQuality & Quantity, 2007
- Change from baseline and analysis of covariance revisitedStatistics in Medicine, 2006
- Coefficients of Determination for Multiple Logistic Regression AnalysisThe American Statistician, 2000
- Generalized Collinearity DiagnosticsJournal of the American Statistical Association, 1992
- Ordinal Measures in Multiple Indicator Models: A Simulation Study of Categorization ErrorAmerican Sociological Review, 1983
- Belief in the law of small numbers.Psychological Bulletin, 1971