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Dynamics of Crisis Communications in Social Media: Spatio-temporal and Text-based Comparative Analyses of Twitter Data from Hurricanes Irma and Michael
Kamol Roy
MD Ashraf Ahmed
Samiul Hasan
Arif Mohaimin Sadri, P.D.
Amanda Hughes
Fiona McNeill
Christopher W. Zobel
Social media platforms play critical roles in information dissemination, communication and co-ordination during different phases of natural disasters as it is crucial to know the type of crisis information being disseminated and user concerns. Large-scale Twitter data from hurricanes Irma (Sept. 2017) and Michael (Oct. 2018) are used here to understand the topic dynamics over time by applying the Dynamic Topic Model, followed by a comparative analyses of the differences in such dynamics for these two hurricane scenarios. We performed a spatio-temporal analyses of user activities with reference to the hurricane center location and wind speed. The findings of spatio-temporal analyses show that differences in hurricane path and the affected regions influence user participation and social media activity. Besides, topic dynamics reveals that situational awareness, disruptions, relief action are among the patterns common for both hurricanes; unlike topics such as hurricane evacuation and political situation that are scenario dependent.
urn:ISBN:2411-3458
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Dynamics%20of%20Crisis%20Communications%20in%20Social%20Media%3A%20Spatio-temporal%20and%20Text-based%20Comparative%20Analyses%20of%20Twitter%20Data%20from%20Hurricanes%20Irma%20and%20Michael&stitle=Iscram%202020&issn=978-1-949373-27-72&isbn=2411-3458&date=2020&spage=812&epage=824&aulast=Kamol%20Roy&au=MD%20Ashraf%20Ahmed&au=Samiul%20Hasan&au=Arif%20Mohaimin%20Sadri%2C%20P.D.&pub=Virginia%20Tech&place=Blacksburg%2C%20VA%20%28USA%29&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2273
citekey:KamolRoy_etal2020
citation:Kamol Roy, MD Ashraf Ahmed, Samiul Hasan, & Arif Mohaimin Sadri, P. D. (2020). Dynamics of Crisis Communications in Social Media: Spatio-temporal and Text-based Comparative Analyses of Twitter Data from Hurricanes Irma and Michael. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 812-824). Blacksburg, VA (USA): Virginia Tech.
2020
ConferencePaper
text
Social Media, Dynamic Topic Modeling, Irma, Michael, Disaster Management.
file:http://idl.iscram.org/files/kamolroy/2020/2273_KamolRoy_etal2020.pdf
Virginia Tech
English
978-1-949373-27-72
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
2020
812
824
1