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Emergency information diffusion on online social media during storm Cindy in U.S.
Open accessAbstract
Abstract Social media plays a critical role in propagating emergency information during disasters. Governmental agencies have opened social media accounts for emergency communication channels. To understand the underlying mechanism of user behaviors and engagement, this study employs social network analysis to investigate information network and diffusion across news, weather agencies, governmental agencies, organizations and the public during the 2017 Storm Cindy in the U.S. This study identified certain types of Twitter users (news and weather agencies) were dominant as information sources and information diffusers (the public and organizations). However, the information flow in the network was controlled by numerous types of users including news, agency, weather agencies and the public. The results highlighted the importance of understanding the unique characteristics of social media and networks for better emergency communication system.
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“The role of Twitter as the key platform for rapid communication during emergencies is widely documented (Kim et al. 2018), as users tend to use this specific platform as the medium for concise and targeted messaging to online communities.”
From Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life (2020) · cites this paper as Kim et al. 2018
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“In recent years, researchers have mostly extracted the topic, emotion, user attributes, and location information of public emergencies by machine learning methods based on SM big data (Pourebrahim, Sultana, Edwards, Gochanour, & Mohanty, 2019; Kim et al., 2018; Cvetojevic & Hochmair, 2018).”
MethodAppropriate Social Media Platforms Commensurate with the Maturity of Organizations
Hanafizadeh, P., & Shafia, S. (2021) · Journal of Telecommunications and the Digital Economy · doi:10.18080/jtde.v9n3.421 · Cited by 7
Cañabate, J. P. M., & Suau-Gomila, G. (2021) · Revista Internacional de Relaciones Públicas · doi:10.5783/rirp-22-2021-11-199-218 · Cited by 6
Mediating Effects of Attitudes, Risk Perceptions, and Negative Emotions on Coping Behaviors
Zhang, W., Li, L., Mou, J., Zhang, M., Cheng, X., & Xia, H. (2022) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.308818 · Cited by 6
Metadata
- Authors
- Kim, J., Bae, J., & Hastak, M.
- Affiliations
- Purdue University West Lafayette (US)
- University of Skövde (SE)
- Corresponding author
- Hastak, Makarand
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 40
- Pages
- 153-165
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2793817064
- Semantic Scholar
- 989435d478b46830e9c51a00e7879c6e170fc642
- Cited by
- 166
- References
- 64
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 14 · 2023: 27 · 2022: 24 · 2021: 27 · 2020: 27 · 2019: 20 · 2018: 5
- FWCI
- 43.23
- Type
- journal article
- Language
- en
- Open access
- green
- urn.kb.se
- Licence
- Locations
- International Journal of Information Management (publishedVersion)
- University Library of Skövde (University of Skövde) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- social media, emergency communication, Twitter, information networks, user engagement, news agencies, government social media accounts, disaster information sharing
About these checks
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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