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Cited by 164

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Social media applications and emergency management: A literature review and research agenda

Luna, Sergio, Pennock, Michael J.·2018·International Journal of Disaster Risk Reduction

Abstract

Abstract Social media applications have proven to be a dependable communication channel even when traditional methods fail. Their application to emergency management offers new benefits to the domain. For instance, analysis of information as the event unfolds may increase situational awareness, news and alerts may reach larger audiences in less time and decision makers may monitor public activities as well as coordinate with stakeholders. With such benefits, it seems the adoption of social media applications to emergency management should be automatic. However, their implementation introduces risks as well. To better understand the benefits and challenges, a review and analysis of the literature regarding the application of social media to emergency management was conducted. Identified research gaps were mapped into social and technological challenges. These challenges were then analyzed to set research directions for practitioners and researchers.

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Metadata

Authors
Luna, S., & Pennock, M. J.
Venue
International Journal of Disaster Risk Reduction
Publisher
Elsevier BV
Published
2018-06
Volume
28
Pages
565-577
ISSN
2212-4209 (ISSN-L)
OpenAlex
W2782760983
Cited by
164
References
8
FWCI
33.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social media applications and emergency management: A literature review and research agenda. https://app.cochat.ai/papers/10.1016/j.ijdrr.2018.01.006
The paper
Luna, S., & Pennock, M. J. (2018). Social media applications and emergency management: A literature review and research agenda. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2018.01.006

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.