Data-driven modeling reveals the Western dominance of global public interest in earthquakes

Jonghun Kam (), Jihun Park, Wanyun Shao, Junho Song, Jinhee Kim, Fabrizio Terenzio Gizzi, Donatella Porrini and Young-Joo Suh
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Jonghun Kam: Pohang University of Science and Technology
Jihun Park: Pohang University of Science and Technology (POSTECH)
Wanyun Shao: The University of Alabama
Junho Song: The University of Alabama
Jinhee Kim: Pohang University of Science and Technology
Fabrizio Terenzio Gizzi: National Research Council (ISPC-CNR), Area della Ricerca, C.da S. Loja
Young-Joo Suh: Pohang University of Science and Technology (POSTECH)

Palgrave Communications, 2021, vol. 8, issue 1, 1-9

Abstract: Abstract Catastrophic earthquakes stimulate information-seeking behaviors beyond the affected geographical boundaries; however, our understanding of the dynamics of global public interest in earthquakes remains limited. Herein, we harness Big Data to examine the dynamic patterns of global public interest, concerning 17 significant worldwide earthquakes over 2004–2019. We find that the global community shows a higher level of interest when an earthquake occurs in developed countries than in developing countries; however, they lose their interest in the former more rapidly than the latter. Regardless of the affected nation, there is a one- to two-week “golden” time window when attention can be leveraged for fundraising and humanitarian aid. Our findings suggest that European citizens who are highly interested in earthquakes emerge as a potential key community to achieve great inclusiveness in policy interventions to solicit international aid. The findings of this study hint at how Big Data can be utilized to identify “time windows of opportunities” for international humanitarian organizations to efficiently raise donations, charities, and aid resources around the world.

Date: 2021
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DOI: 10.1057/s41599-021-00914-7

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