IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v10y2023i1d10.1057_s41599-023-01922-5.html
   My bibliography  Save this article

Global online social response to a natural disaster and its influencing factors: a case study of Typhoon Haiyan

Author

Listed:
  • Shi Shen

    (Beijing Normal University
    Beijing Normal University)

  • Ke Shi

    (Beijing Normal University
    Chinese Academy of Sciences)

  • Junwang Huang

    (Beijing Normal University
    Beijing Normal University)

  • Changxiu Cheng

    (Beijing Normal University
    Beijing Normal University)

  • Min Zhao

    (Beijing Normal University)

Abstract

The global public interest in a natural disaster event will help disaster-stricken areas obtain post-disaster international relief and assistance. However, knowledge gaps still exist in regard to global online social responses and their socioeconomic influencing factors. We used big social media data regarding the 2013 Super Typhoon Haiyan to explore global online social responses and to investigate the socioeconomic factors influencing this behavior based on the Geographical Detector (Geodetector) model and geographically weighted regression (GWR) model. The results show that global online social responses have little relation with geographical distance and follow the disaster’s development. In addition to the most response in the disaster-affected countries, Western countries and neighboring countries have more online social response to the disaster than other regions. Among all the influencing factors, economic factors have the strongest effect on public interest both before and after the typhoon’s landfall. Our findings indicate that online social users are of great potential for volunteers and donors.

Suggested Citation

  • Shi Shen & Ke Shi & Junwang Huang & Changxiu Cheng & Min Zhao, 2023. "Global online social response to a natural disaster and its influencing factors: a case study of Typhoon Haiyan," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01922-5
    DOI: 10.1057/s41599-023-01922-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-01922-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-023-01922-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huiyun Zhu & Kecheng Liu, 2021. "Temporal, Spatial, and Socioeconomic Dynamics in Social Media Thematic Emphases during Typhoon Mangkhut," Sustainability, MDPI, vol. 13(13), pages 1-17, July.
    2. Raschky, Paul A. & Schwindt, Manijeh, 2012. "On the channel and type of aid: The case of international disaster assistance," European Journal of Political Economy, Elsevier, vol. 28(1), pages 119-131.
    3. Jonghun Kam & Jihun Park & Wanyun Shao & Junho Song & Jinhee Kim & Fabrizio Terenzio Gizzi & Donatella Porrini & Young-Joo Suh, 2021. "Data-driven modeling reveals the Western dominance of global public interest in earthquakes," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    4. Lei Zou & Nina S. N. Lam & Heng Cai & Yi Qiang, 2018. "Mining Twitter Data for Improved Understanding of Disaster Resilience," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(5), pages 1422-1441, September.
    5. Shi Shen & Changxiu Cheng & Changqing Song & Jing Yang & Shanli Yang & Kai Su & Lihua Yuan & Xiaoqiang Chen, 2018. "Spatial distribution patterns of global natural disasters based on biclustering," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1809-1820, July.
    6. repec:pal:palcom:v:2016:y:2016:i:palcomms201616:p:16016- is not listed on IDEAS
    7. Amina Aitsi-Selmi & Kevin Blanchard & Virginia Murray, 2016. "Ensuring science is useful, usable and used in global disaster risk reduction and sustainable development: a view through the Sendai framework lens," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-9, December.
    8. Oliver Gruebner & Sarah R. Lowe & Martin Sykora & Ketan Shankardass & SV Subramanian & Sandro Galea, 2018. "Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media," IJERPH, MDPI, vol. 15(10), pages 1-12, October.
    9. Rabeea Sadaf & Judit Oláh & József Popp & Domicián Máté, 2018. "An Investigation of the Influence of the Worldwide Governance and Competitiveness on Accounting Fraud Cases: A Cross-Country Perspective," Sustainability, MDPI, vol. 10(3), pages 1-11, February.
    10. Michael Berlemann & Tobias Thomas, 2019. "The distance bias in natural disaster reporting – empirical evidence for the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 26(12), pages 1026-1032, July.
    11. Clarissa C David & Jonathan Corpus Ong & Erika Fille T Legara, 2016. "Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-19, March.
    12. Sonja I. Garske & Suzanne Elayan & Martin Sykora & Tamar Edry & Linus B. Grabenhenrich & Sandro Galea & Sarah R. Lowe & Oliver Gruebner, 2021. "Space-Time Dependence of Emotions on Twitter after a Natural Disaster," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiangmei Xiong & Yulin Hswen & John A. Naslund, 2020. "Digital Surveillance for Monitoring Environmental Health Threats: A Case Study Capturing Public Opinion from Twitter about the 2019 Chennai Water Crisis," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    2. Joel Oommen George & Suzanne Elayan & Martin Sykora & Marin Solter & Rob Feick & Christopher Hewitt & Yiqiao Liu & Ketan Shankardass, 2023. "The Role of Social Media in Building Pandemic Resilience in an Urban Community: A Qualitative Case Study," IJERPH, MDPI, vol. 20(17), pages 1-18, September.
    3. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    4. Bommer, Christian & Dreher, Axel & Perez-Alvarez, Marcello, 2022. "Home bias in humanitarian aid: The role of regional favoritism in the allocation of international disaster relief," Journal of Public Economics, Elsevier, vol. 208(C).
    5. Yusuke Toyoda, 2021. "Survey paper: achievements and perspectives of community resilience approaches to societal systems," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 705-756, October.
    6. Pavol KRAL & Katarina JANOSKOVA & Tomas KLIESTIK, 2018. "Key Determinants Of The Public Transport User’S Satisfaction," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2018(31), pages 36-51, December.
    7. Ruerd Ruben, 2012. "Dimensionner l'aide au développement : ce que nous enseigne l'évaluation. Dimensioning Development Aid: Some Lessons from Evaluation," Revue d’économie du développement, De Boeck Université, vol. 20(4), pages 95-123.
    8. Lennart Reifels & Michel L. A. Dückers, 2023. "Disaster Mental Health Risk Reduction: Appraising Disaster Mental Health Research as If Risk Mattered," IJERPH, MDPI, vol. 20(11), pages 1-14, May.
    9. Sivapuram Venkata Rama Krishna Prabhakar & Kentaro Tamura & Naoyuki Okano & Mariko Ikeda, 2021. "Strengthening External Emergency Assistance for Managing Extreme Events, Systemic, and Transboundary Risks in Asia," Politics and Governance, Cogitatio Press, vol. 9(4), pages 27-42.
    10. Oscar Becerra & Eduardo Cavallo & Ilan Noy, 2014. "Foreign Aid in the Aftermath of Large Natural Disasters," Review of Development Economics, Wiley Blackwell, vol. 18(3), pages 445-460, August.
    11. Koppenberg, Maximilian & Mishra, Ashok K. & Hirsch, Stefan, 2023. "Food Aid and Violent Conflict: A Review of Literature," IZA Discussion Papers 16574, Institute of Labor Economics (IZA).
    12. Monica Ramos Montesdeoca & Agustín J. Sánchez Medina & Felix Blázquez Santana, 2019. "Research Topics in Accounting Fraud in the 21st Century: A State of the Art," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    13. Paul A. Raschky & Manijeh Schwindt, 2016. "Aid, Catastrophes and the Samaritan's Dilemma," Economica, London School of Economics and Political Science, vol. 83(332), pages 624-645, October.
    14. Podhorska Ivana & Valaskova Katarina & Stehel Vojtech & Kliestik Tomas, 2019. "Possibility of Company Goodwill Valuation: Verification in Slovak and Czech Republic," Management & Marketing, Sciendo, vol. 14(3), pages 338-356, September.
    15. Trinh, Trong-Anh & Feeny, Simon & Posso, Alberto, 2022. "Political connections and post-disaster assistance in rural Vietnam," European Journal of Political Economy, Elsevier, vol. 72(C).
    16. Andreas Fuchs & Hannes Öhler, 2021. "Does private aid follow the flag? An empirical analysis of humanitarian assistance," The World Economy, Wiley Blackwell, vol. 44(3), pages 671-705, March.
    17. Sonja I. Garske & Suzanne Elayan & Martin Sykora & Tamar Edry & Linus B. Grabenhenrich & Sandro Galea & Sarah R. Lowe & Oliver Gruebner, 2021. "Space-Time Dependence of Emotions on Twitter after a Natural Disaster," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    18. Stefano Morelli & Veronica Pazzi & Olga Nardini & Sara Bonati, 2022. "Framing Disaster Risk Perception and Vulnerability in Social Media Communication: A Literature Review," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    19. Emily Ying Yang Chan & Holly Ching Yu Lam, 2020. "Research Frontiers of Health Emergency and Disaster Risk Management: What Do We Know So Far?," IJERPH, MDPI, vol. 17(5), pages 1-4, March.
    20. Oscar Becerra & Eduardo Cavallo & Ilan Noy, 2010. "In the Aftermath of Large Natural Disasters, what happens to foreign aid?," Working Papers 201018, University of Hawaii at Manoa, Department of Economics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01922-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.