How Emotions Can Enhance Crisis Communication: Theorizing Around Moral Outrage

W. Timothy Coombs & Elina R. Tachkova

Journal of Public Relations Research2023https://doi.org/10.1080/1062726x.2023.2244615article
ABDC B
Weight
0.75

Abstract

Research and practice have noted the existence of what have been termed sticky crises. Sticky crises are extraordinary because they create uniquely challenging situations for crisis managers (Reber, Yarbrough, Nowak & Jin, 2020). This paper uses the emotion of moral outrage to conceptualize one form of sticky crisis we term moral outrage inducing crises and to outline a research program designed to develop theory and to enhance the practice related to this variant of sticky crises. The first section reviews the nature of sticky crises and what makes them complicated and difficult to manage. The next section discusses how people assess crisis situations arguing this is done based on cognitions and emotions. We then explore how moral outrage affects critical crisis assessments and provide a series of propositions designed to advance theory and practice for crisis communication in moral outrage inducing crises. We argue that an emotion-driven approach to crisis communication coupled with a concern for morals will promote a better understanding and management of moral outrage inducing crises and potentially other sticky crises that evoke moral outrage.

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https://doi.org/https://doi.org/10.1080/1062726x.2023.2244615

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@article{w.2023,
  title        = {{How Emotions Can Enhance Crisis Communication: Theorizing Around Moral Outrage}},
  author       = {W. Timothy Coombs & Elina R. Tachkova},
  journal      = {Journal of Public Relations Research},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1080/1062726x.2023.2244615},
}

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How Emotions Can Enhance Crisis Communication: Theorizing Around Moral Outrage

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Evidence weight

0.75

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact1.00 × 0.4 = 0.40
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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