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Emergency information diffusion on online social media during storm Cindy in U.S.
Purdue University, West Lafayette, IN, United States.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-2415-7243
Purdue University, West Lafayette, IN, United States.
2018 (English)In: International Journal of Information Management, ISSN 0268-4012, E-ISSN 1873-4707, Vol. 40, p. 153-165Article in journal (Refereed) Published
Abstract [en]

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. © 2018 Elsevier Ltd

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 40, p. 153-165
Keywords [en]
disaster communication, disaster management, disaster response, social media, social network analysis, behavioral research, disaster prevention, disasters, information services, storms, disaster communications, emergency communication, emergency information, information networks, online social medias, social networking (online)
National Category
Information Systems, Social aspects
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN: urn:nbn:se:his:diva-14998DOI: 10.1016/j.ijinfomgt.2018.02.003ISI: 000427764700016Scopus ID: 2-s2.0-85042680051OAI: oai:DiVA.org:his-14998DiVA, id: diva2:1194429
Note

© 2018 Elsevier Ltd. All rights reserved. The RightsLink Digital Licensing and Rights Management Service (including RightsLink for Open Access) is available (A) to users of copyrighted works found at the websites of participating publishers who are seeking permissions or licenses to use those works, and (B) to authors of articles and other manuscripts who are seeking to pay author publication charges in connection with the submission of their works to publishers.

Available from: 2018-04-01 Created: 2018-04-03 Last updated: 2021-01-07Bibliographically approved

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Bae, Juhee

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