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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))
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)
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
Available from: 2018-04-01 Created: 2018-04-03 Last updated: 2018-06-11

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Bae, Juhee

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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