Back to Search
Start Over
Data-driven modeling reveals the Western dominance of global public interest in earthquakes
- Source :
- Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-9 (2021), Humanities & social sciences communications 8 (2021). doi:10.1057/s41599-021-00914-7
- Publication Year :
- 2021
- Publisher :
- Springer Nature, 2021.
-
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.
- Subjects :
- Big Data
business.industry
Humanitarian aid
General Arts and Humanities
Big data
Google Trends
General Social Sciences
Developing country
Social Sciences
General Business, Management and Accounting
Data-driven
Public interest
Time windows
Dominance (economics)
earthquake
Political science
humanitarian aid
Development economics
AZ20-999
History of scholarship and learning. The humanities
business
General Economics, Econometrics and Finance
Developed country
General Psychology
Subjects
Details
- Language :
- English
- ISSN :
- 26629992
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Humanities & Social Sciences Communications
- Accession number :
- edsair.doi.dedup.....23df44d968b9e4fa6808b044d8e11b99
- Full Text :
- https://doi.org/10.1057/s41599-021-00914-7