The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Social Media Use During Disasters: How Information Form and Source Influence Intended Behavioral Responses
Abstract
This study provides insights that can inform disaster communication management, policymaking, and theory building through a nationally representative field experiment ( N = 2,015 U.S. adults) grounded in media richness theory, information and communication technologies (ICTs) succession theory, and the social-mediated crisis communication (SMCC) model. Key findings include the following: (1) Significant main effects of disaster information source were detected on how likely participants were to seek further disaster information from TV, local government websites, and federal government websites; (2) regardless of information form and source, participants reported strongest intentions to immediately communicate about the disaster predominately via offline interpersonal forms rather than through online organizational and personal forms; and (3) regardless of information source, participants reported strong intentions to evacuate if instructed to do so by the government. These findings call for developing crisis communication theory that is more focused on how publics communicate with each other rather than with organizations about disasters and predict a wider variety of crisis communication outcomes.
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“For control variables, crisis severity (α = .91)comprises six items (adapted from Antonetti & Maklan, 2016;Liu et al., 2016).”
From Distinguishing Moral Outrage and Empathetic Anger: Advancing the Triadic Appraisal Framework of Situational Crisis Communication Theory (2026) · cites this paper as Liu et al., 2016
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Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Information richness. A new approach to managerial behavior and organization design
Daft, R. L., & Lengel, R. H. (1983) · doi:10.21236/ada128980 · Cited by 2,263 · cited 3×
“Furthermore, media richness theory (Daft & Lengel, 1984, 1986) and ICTs succession theory (Stephens, 2007; Westerman, Van Der Heide, Klein, & Walther, 2008) provide insights into how disaster information form(s) independently and/or jointly affect publics’ responses to disasters.”
BackgroundRaacke, J., & Bonds-Raacke, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0056 · Cited by 1,577
CHANNEL EXPANSION THEORY AND THE EXPERIENTIAL NATURE OF MEDIA RICHNESS PERCEPTIONS.
Carlson, J. R., & Zmud, R. W. (1999) · Academy of Management Journal · doi:10.2307/257090 · Cited by 1,270
Uses and gratifications of social media: A comparison of Facebook and instant messaging
Quan-Haase, A., & Young, A. L. (2010) · Bulletin of Science, Technology & Society · doi:10.1177/0270467610380009 · Cited by 1,205
A work-in-process literature review: Incorporating social media in risk and crisis communication
Veil, S. R., Buehner, T., & Palenchar, M. J. (2011) · Journal of Contingencies and Crisis Management · doi:10.1111/j.1468-5973.2011.00639.x · Cited by 677
(2006) · doi:10.1201/9781482289688 · Cited by 277
Cited by
van der Meer, T. G. L. A., & Jin, Y. (2020) · Health Communication · doi:10.1080/10410236.2019.1573295 · Cited by 429
Self-citationZhang, C., Fan, C., Yao, W., Hu, X., & Mostafavi, A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.004 · Cited by 293
Retracted: Detecting Fake News using Machine Learning and Deep Learning Algorithms
Tanvir, A. A., Mahir, E. M., Akhter, S., & Huq, M. R. (2019) · 2019 7th International Conference on Smart Computing & Communications (ICSCC) · doi:10.1109/icscc.2019.8843612 · Cited by 151
RetractedCommunicating 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
Self-citationWu, Y., & Shen, F. (2022) · Journal of Health Psychology · doi:10.1177/1359105321995964 · Cited by 78
Metadata
- Authors
- Liu, B. F., Fraustino, J. D., & Jin, Y.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 2015-01-13
- Volume
- 43
- Issue
- 5
- Pages
- 626-646
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2119838790
- Cited by
- 297
- References
- 8
- FWCI
- 43.43
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
