The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Toward a Publics-Driven, Emotion-Based Conceptualization in Crisis Communication: Unearthing Dominant Emotions in Multi-Staged Testing of the Integrated Crisis Mapping (ICM) Model
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“Our study adds a solid building block to the crisis emotion foundation laid by the integrated crisis mapping (ICM) model (Jin et al., 2012) that posited anger as one of the predominant affective forces in organizational crises.”
From Distinguishing Moral Outrage and Empathetic Anger: Advancing the Triadic Appraisal Framework of Situational Crisis Communication Theory (2026) · cites this paper as Jin et al., 2012
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Citations
Cites
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Aberdeen, T. (2013) · The Canadian Journal of Action Research · doi:10.33524/cjar.v14i1.73 · Cited by 3,250
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Cited by
Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner McGowen, S. E., Davis, R., Vaid, S., McElderry, J. A., et al. (2015) · Disasters · doi:10.1111/disa.12092 · Cited by 869
Kim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020) · Science Communication · doi:10.1177/1075547020959670 · Cited by 313
Social media dialogues in a crisis: A mixed-methods approach to identifying publics on social media
Smith, B. G., Smith, S. B., & Knighton, D. (2018) · Public Relations Review · doi:10.1016/j.pubrev.2018.07.005 · Cited by 78
Niu, R., Eng, N., & Jin, Y. (2026) · Journal of Public Relations Research · doi:10.1080/1062726x.2026.2667179 · Cited by 2
Self-citation
Metadata
- Authors
- Jin, Y., Pang, A., & Cameron, G. T.
- Venue
- Journal of Public Relations Research
- Publisher
- Informa UK Limited
- Published
- 2012-06
- Volume
- 24
- Issue
- 3
- Pages
- 266-298
- ISSN
- 1062-726X
- 1532-754X
- Cited by
- 224
- References
- 2
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
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.
