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Image repair discourse and crisis communication
Open accessAbstract
This article describes the theory of image restoration discourse as an approach for understanding corporate crisis situations. This theory can be used by practitioners to help design messages during crises and by critics or educators to critically evaluate messages produced during crises. I begin by describing and illustrating the basic concepts in this theory. Then, I offer suggestions for crisis communication based on this body of theory and research. William L. Benoit is Associate Professor of Communication, University of Missouri, Columbia, MO.
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Citations
Cited by
Communicating crisis uncertainty: A review of the knowledge gaps
Liu, B. F., Bartz, L., & Duke, N. (2016) · Public Relations Review · doi:10.1016/j.pubrev.2016.03.003 · Cited by 115
Keeping Up with the Tweet-dashians: The Impact of 'Official' Accounts on Online Rumoring
Andrews, C., Fichet, E., Ding, Y., Spiro, E. S., & Starbird, K. (2016) · Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing · doi:10.1145/2818048.2819986 · Cited by 98
Responding to a Health Crisis on Facebook: The Effects of Response Timing and Message Appeal
Huang, Y., & DiStaso, M. (2020) · Public Relations Review · doi:10.1016/j.pubrev.2020.101909 · Cited by 63
Houston, J. B., Spialek, M. L., & First, J. (2018) · Journal of Communication · doi:10.1093/joc/jqy023 · Cited by 63
Metadata
- Authors
- Benoit, W. L.
- Venue
- Public Relations Review
- Publisher
- Elsevier BV
- Published
- 1997-06
- Volume
- 23
- Issue
- 2
- Pages
- 177-186
- ISSN
- 0363-8111 (ISSN-L)
- OpenAlex
- W2019894798
- Cited by
- 1,400
- References
- 0
- FWCI
- 42.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Benoit, W. L. (1997). Image repair discourse and crisis communication. Public Relations Review. https://doi.org/10.1016/s0363-8111(97)90023-0
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
