Document Type

Article

Publication Date

2024

DOI

10.1111/risa.17690

Publication Title

Risk Analysis

Volume

Article in Press

Pages

15 pp.

Abstract

Recent developments in risk and crisis communication (RCC) research combine social science theory and data science tools to construct effective risk messages efficiently. However, current systematic literature reviews (SLRs) on RCC primarily focus on computationally assessing message efficacy as opposed to message efficiency. We conduct an SLR to highlight any current computational methods that improve message construction efficacy and efficiency. We found that most RCC research focuses on using theoretical frameworks and computational methods to analyze or classify message elements that improve efficacy. For improving message efficiency, computational and manual methods are only used in message classification. Specifying the computational methods used in message construction is sparse. We recommend that future RCC research apply computational methods toward improving efficacy and efficiency in message construction. By improving message construction efficacy and efficiency, RCC messaging would quickly warn and better inform affected communities impacted by current hazards. Such messaging has the potential to save as many lives as possible.

Rights

© 2024 The Authors.

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Original Publication Citation

Munro, M. H., Gore, R. J., Lynch, C. J., Hastings, Y. D., & Reinhold, A. M. (2024). Enhancing risk and crisis communication with computational methods: A systematic literature review. Risk Analysis. Advance online publication. https://doi.org/10.1111/risa.17690

ORCID

0000-0003-4065-6146 (Gore)

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