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The anatomy of natural disasters on online media: hurricanes and wildfires

Author

Listed:
  • Nicole Olynk Widmar

    (Purdue University)

  • Kendra Rash

    (Purdue University)

  • Courtney Bir

    (Ferguson College of Agriculture, Oklahoma State University)

  • Benjamin Bir
  • Jinho Jung

    (Purdue University)

Abstract

Increasing prevalence and scale of natural disasters fuel the need for new approaches to evaluating, and eventually mitigating, their impact. This analysis quantifies and compares online and social media attention to hurricanes and wildfires over time and geographic space. Hurricanes studied included: Michael, Maria, Irma, Harvey, and Florence. Fires studied included: Woolsey, Mendocino, Carr, and Camp. It was hypothesized that total volume of online media content, measured in posts and mentions, varied measurably over the phases of the disasters. Furthermore, it was hypothesized that the anatomy of the disaster, specifically the number and timing/dates, of posts and mentions varied inside versus outside impacted zones/geographies. Social media content, in sheer volume, related to hurricanes was larger than that devoted to fires. A mismatch between the time periods that people post about natural disasters on social media and the times when aid is needed to rebuild was found. Mentions fell rapidly after landfall for hurricanes, and long before fires were officially contained or extinguished. This rapid fall in media attention may leave directly impacted populations without help and support during the rebuilding process. Greater understanding of volume of posts over time, or the anatomy of disasters in online media space, may help government agencies, private industry, and relief organizations understand public attentiveness before, during, and after various types of natural disasters.

Suggested Citation

  • Nicole Olynk Widmar & Kendra Rash & Courtney Bir & Benjamin Bir & Jinho Jung, 2022. "The anatomy of natural disasters on online media: hurricanes and wildfires," 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. 110(2), pages 961-998, January.
    • Handle: RePEc:spr:nathaz:v:110:y:2022:i:2:d:10.1007_s11069-021-04975-4
    DOI: 10.1007/s11069-021-04975-4
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    1. Linda Thunström & Shiri Noy, 2019. "The value of thoughts and prayers," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(40), pages 19797-19798, October.
    2. Bairong Wang & Jun Zhuang, 2017. "Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy," 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. 89(1), pages 161-181, October.
    3. Frances C. Moore & Nick Obradovich, 2020. "Using remarkability to define coastal flooding thresholds," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    4. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    5. Pogrebnyakov, Nicolai & Maldonado, Edgar, 2018. "Didn’t roger that: Social media message complexity and situational awareness of emergency responders," International Journal of Information Management, Elsevier, vol. 40(C), pages 166-174.
    6. Panagiotopoulos, Panos & Barnett, Julie & Bigdeli, Alinaghi Ziaee & Sams, Steven, 2016. "Social media in emergency management: Twitter as a tool for communicating risks to the public," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 86-96.
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    Cited by:

    1. Nicolas Boccard, 2022. "On the prevalence of forest fires in Spain," 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. 114(1), pages 1043-1057, October.

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