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Enhancing risk and crisis communication with computational methods: A systematic literature review
Madison H Munro1, Ross J Gore2, Christopher J Lynch2
1Gianforte School of Computing, Montana State University, Bozeman, Montana, USA.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|December 15, 2024
Summary
This study reviewed risk and crisis communication (RCC) research, finding computational methods primarily enhance message efficacy, not efficiency. Future research should focus on computational approaches for efficient message construction to better inform communities during crises.
Area of Science:
- Risk and Crisis Communication (RCC)
- Computational Social Science
- Information Science
Background:
- Risk and crisis communication (RCC) research increasingly integrates social science theory with data science tools.
- Existing systematic literature reviews (SLRs) in RCC predominantly focus on computational assessment of message efficacy rather than efficiency.
- A gap exists in understanding computational methods for efficient risk message construction.
Purpose of the Study:
- To conduct a systematic literature review (SLR) on current computational methods in RCC.
- To identify computational approaches that enhance both the efficacy and efficiency of risk message construction.
- To highlight the scarcity of research on computational methods specifically for message construction.
Main Methods:
- Systematic literature review (SLR) methodology.
- Analysis of existing RCC research focusing on computational tools and theoretical frameworks.
- Categorization of methods based on their application to message efficacy versus efficiency.
Main Results:
- Most RCC research utilizes theoretical frameworks and computational methods for analyzing or classifying message elements to improve efficacy.
- Computational and manual methods are currently limited to message classification for improving efficiency.
- Specific computational methods applied to the actual construction of risk messages are sparsely documented.
Conclusions:
- There is a significant need to advance the application of computational methods in RCC research.
- Future research should prioritize developing and applying computational techniques to enhance both the efficacy and efficiency of risk message construction.
- Improving computational approaches for message construction can lead to faster and more effective warnings, potentially saving lives during hazardous events.
Keywords:
computational methodsefficacy and efficiencymessage constructionrisk and crisis communicationtheoretical frameworkMore Related Videos
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