IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p4726-d1089998.html
   My bibliography  Save this article

What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster

Author

Listed:
  • Jia He

    (College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Urumqi 830054, China)

  • Miao Ma

    (College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Yuxuan Zhou

    (College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Miaoke Wang

    (College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

As a significant human behavior, disaster information behavior may operate as a catalyst for affecting the evolution of disaster occurrences in social-ecological systems and the sustainability of social systems. Yet little research has been carried out on this subject, particularly on the information behavior of major natural disasters. Based on the case of the 7.20 Henan heavy rain flood disaster, this study constructs an information behavior composite index from the four dimensions of temporal, spatial, content, and behavioral agents and statistically identifies and quantifies the characteristics and differences of disaster information behavior in social media. The results are as follows. (1) Disaster information behaviors have an obvious life cycle with three phases, essentially following the “formation-development-extinction” process; disaster areas, near-disaster areas, and economically and technologically developed areas exhibit higher levels of information behavior. (2) A total of 47% of the content is related to the case, while 53% is unrelated; the most related microblogs (43.88%) were about “Disaster response/relief”. (3) Females (54.19%) engage in more information behavior than males (45.81%) and they also exhibit more positive behavior; the 20–29-year-old age group is dominated by positive and neutral comments with the highest level of information behavior, whereas the lowest level of information behavior occurs in the 50+ age group; neutral and irrelevant comments in the 30–49-year-old age group dominated. This case study enables a scientific understanding of the necessity of information dissemination for disaster prevention and mitigation and further demonstrates the hazard, psychological distance, societal, and individual factors that all affect how disaster information behaves and performs differently.

Suggested Citation

  • Jia He & Miao Ma & Yuxuan Zhou & Miaoke Wang, 2023. "What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4726-:d:1089998
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/4726/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/6/4726/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zewen Hu & Xiaocai Zhang & Jingjing Cui & Lijie Zhang & Wasim Ahmed, 2021. "A survey-based analysis of the public’s willingness for disaster relief in China," 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. 107(3), pages 2205-2225, July.
    2. Ran, Maojie & Chen, Jiancu, 2021. "An information dissemination model based on positive and negative interference in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    3. Crawford, Sue E. S. & Ostrom, Elinor, 1995. "A Grammar of Institutions," American Political Science Review, Cambridge University Press, vol. 89(3), pages 582-600, September.
    4. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    5. Isabell Koinig & Sandra Diehl, 2022. "“Where There Is Light, There Is Also Darkness”: Discussing Young Adults’ Willingness to Disclose Data to Use Wearables and Health Applications—Results from a Focus Group Study," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    6. Zhijie Sasha Dong & Lingyu Meng & Lauren Christenson & Lawrence Fulton, 2021. "Social media information sharing for natural disaster response," 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. 107(3), pages 2077-2104, July.
    7. Yandong Wang & Teng Wang & Xinyue Ye & Jianqi Zhu & Jay Lee, 2015. "Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm," Sustainability, MDPI, vol. 8(1), pages 1-17, December.
    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. Vivian Welch & Christine M. Mathew & Panteha Babelmorad & Yanfei Li & Elizabeth T. Ghogomu & Johan Borg & Monserrat Conde & Elizabeth Kristjansson & Anne Lyddiatt & Sue Marcus & Jason W. Nickerson & K, 2021. "Health, social care and technological interventions to improve functional ability of older adults living at home: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    2. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    3. Menkhoff, Lukas & Miethe, Jakob, 2019. "Tax evasion in new disguise? Examining tax havens' international bank deposits," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 176, pages 53-78.
    4. Ran Abramitzky & Roy Mill & Santiago Pérez, 2020. "Linking individuals across historical sources: A fully automated approach," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 53(2), pages 94-111, April.
    5. Werner Eichhorst & Ulf Rinne, 2017. "Digital Challenges for the Welfare State," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(04), pages 03-08, December.
    6. Frimpong Boamah, Emmanuel, 2018. "Constitutional economics of Ghana’s decentralization," World Development, Elsevier, vol. 110(C), pages 256-267.
    7. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.
    8. Tommaso Colussi & Ingo E. Isphording & Nico Pestel, 2021. "Minority Salience and Political Extremism," American Economic Journal: Applied Economics, American Economic Association, vol. 13(3), pages 237-271, July.
    9. Erkmen Giray Aslim, 2019. "The Relationship Between Health Insurance and Early Retirement: Evidence from the Affordable Care Act," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(1), pages 112-140, January.
    10. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    11. Edna P. Conwi & Alexander G. Cortez & Normita Ramos, 2016. "Effects of the Dualized Training Program on the Occupational Interest of the Students Enrolled in Bachelor of Science in Hotel and Restaurant Management," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 7(1), pages 31-36, January.
    12. Nihan Akyelken, 2017. "Mobility-Related Economic Exclusion: Accessibility and Commuting Patterns in Industrial Zones in Turkey," Social Inclusion, Cogitatio Press, vol. 5(4), pages 175-182.
    13. Youngna Choi, 2022. "Economic Stimulus and Financial Instability: Recent Case of the U.S. Household," JRFM, MDPI, vol. 15(6), pages 1-25, June.
    14. Camillia Kong & John Coggon & Michael Dunn & Penny Cooper, 2019. "Judging Values and Participation in Mental Capacity Law," Laws, MDPI, vol. 8(1), pages 1-22, February.
    15. Dreher, Axel & Fuchs, Andreas & Langlotz, Sarah, 2019. "The effects of foreign aid on refugee flows," European Economic Review, Elsevier, vol. 112(C), pages 127-147.
    16. Jiyong Ding & Juefang Cai & Guangxiang Guo & Chen Chen, 2018. "An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    17. Dindo, Pietro & Massari, Filippo, 2020. "The wisdom of the crowd in dynamic economies," Theoretical Economics, Econometric Society, vol. 15(4), November.
    18. Ferrarini, Benno & Maupin, Julie & Hinojales , Marthe, 2017. "Distributed Ledger Technologies for Developing Asia," ADB Economics Working Paper Series 533, Asian Development Bank.
    19. Andrzej Cieślik & Sarhad Hamza, 2022. "Inward FDI, IFRS Adoption and Institutional Quality: Insights from the MENA Countries," IJFS, MDPI, vol. 10(3), pages 1-19, June.
    20. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," Post-Print hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03612850, HAL.

    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:gam:jsusta:v:15:y:2023:i:6:p:4726-:d:1089998. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.