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From the periphery and toward a centralized model for trust in government risk and disaster communication

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  • Brooke F. Liu
  • Amisha M. Mehta

Abstract

In the context of disaster research, trust is ubiquitous. Despite its reach across multiple research domains, the devil is in the lack of a comprehensive understanding of how trust is defined, measured, and applied in the context of government risk and disaster communication. This article presents a systematic literature review of trust research undertaken in the context of government as opposed to corporate, risk, and disaster communication. Findings show that trust is rarely defined, but those articles that do define it draw on multiple definitions, which has implications for the operationalization of trust in communication research and practice. Another source of variance is around the theoretical or conceptual frameworks for trust. Research mostly treats trust at the periphery, assuming its existence rather than exploring how it operates in government risk and disaster communication settings. In terms of its application, the majority of empirical work around trust is focused on the response phase of disasters. Following from this review, this study offers a research road map for trust and argues for a centralized view of trust in government risk and disaster communication.

Suggested Citation

  • Brooke F. Liu & Amisha M. Mehta, 2021. "From the periphery and toward a centralized model for trust in government risk and disaster communication," Journal of Risk Research, Taylor & Francis Journals, vol. 24(7), pages 853-869, July.
  • Handle: RePEc:taf:jriskr:v:24:y:2021:i:7:p:853-869
    DOI: 10.1080/13669877.2020.1773516
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    Cited by:

    1. Hao Tan & Yuyue Hao, 2022. "Mapping the Global Evolution and Research Directions of Information Seeking, Sharing and Communication in Disasters: A Bibliometric Study," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Hashemi, Hossein & Rajabi, Reza & Brashear-Alejandro, Thomas G., 2022. "COVID-19 research in management: An updated bibliometric analysis," Journal of Business Research, Elsevier, vol. 149(C), pages 795-810.

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