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Participation Patterns and Reliability of Human Sensing in Crowd-Sourced Disaster Management

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  • Robert I. Ogie

    (University of Wollongong)

  • Hugh Forehead

    (University of Wollongong)

  • Rodney J. Clarke

    (University of Wollongong)

  • Pascal Perez

    (University of Wollongong)

Abstract

Over the last ten years, there has been a significant increase in crowd-sourcing applications for disaster management. Their success depends heavily on the behaviour of social media users, acting as human sensors during disaster monitoring and emergency response. Unlike their technological counterparts, human sensors are complex social entities, contributing in different ways to their collective task and creating varying participation patterns through social media. Failing to understand these participation patterns limits our capacity to evaluate the reliability of human sensing in different contexts. Based on an analysis of flood-related information contributed by Twitter users in Jakarta during the 2014/2015 and 2015/2016 monsoonal seasons, this study establishes four categories of human sensors and their respective levels of reliability for disaster management. The results have significant implications for how we frame expectations and develop reliance on the use of social media for disaster management. Importantly, the results will serve as a useful guide for understanding levels of incentive that may be required to motivate members of the different categories of social media users during emergencies and disasters.

Suggested Citation

  • Robert I. Ogie & Hugh Forehead & Rodney J. Clarke & Pascal Perez, 2018. "Participation Patterns and Reliability of Human Sensing in Crowd-Sourced Disaster Management," Information Systems Frontiers, Springer, vol. 20(4), pages 713-728, August.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:4:d:10.1007_s10796-017-9790-y
    DOI: 10.1007/s10796-017-9790-y
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    References listed on IDEAS

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    1. Deborah Bunker & Linda Levine & Carol Woody, 2015. "Repertoires of collaboration for common operating pictures of disasters and extreme events," Information Systems Frontiers, Springer, vol. 17(1), pages 51-65, February.
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    Cited by:

    1. Ghassan Beydoun & Sergiu Dascalu & Dale Dominey-Howes & Andrew Sheehan, 2018. "Disaster Management and Information Systems: Insights to Emerging Challenges," Information Systems Frontiers, Springer, vol. 20(4), pages 649-652, August.
    2. Milad Mirbabaie & Deborah Bunker & Stefan Stieglitz & Annika Deubel, 2020. "Who Sets the Tone? Determining the Impact of Convergence Behaviour Archetypes in Social Media Crisis Communication," Information Systems Frontiers, Springer, vol. 22(2), pages 339-351, April.
    3. Deli Yuan & Muhammad Khalilur Rahman & Md. Abu Issa Gazi & Md. Atikur Rahaman & Mohammad Mainul Hossain & Shaharin Akter, 2021. "Analyzing of User Attitudes Toward Intention to Use Social Media for Learning," SAGE Open, , vol. 11(4), pages 21582440211, November.
    4. Jingrui Ju & Luning Liu & Yuqiang Feng, 2019. "Design of an O2O Citizen Participation Ecosystem for Sustainable Governance," Information Systems Frontiers, Springer, vol. 21(3), pages 605-620, June.
    5. Stathis G. Arapostathis, 2021. "A Methodology for Automatic Acquisition of Flood‐event Management Information From Social Media: the Flood in Messinia, South Greece, 2016," Information Systems Frontiers, Springer, vol. 23(5), pages 1127-1144, September.
    6. Tenanoia Simona & Tauisi Taupo & Pedro Antunes, 2023. "A Scoping Review on Agency Collaboration in Emergency Management Based on the 3C Model," Information Systems Frontiers, Springer, vol. 25(1), pages 291-302, February.
    7. Carine Dominguez-Péry & Rana Tassabehji & Lakshmi Narasimha Raju Vuddaraju & Vikhram Kofi Duffour, 2021. "Improving emergency response operations in maritime accidents using social media with big data analytics: a case study of the MV Wakashio disaster," Post-Print hal-04021179, HAL.
    8. Qingqi Long & Ke Song, 2022. "Operational Performance Evaluation of E-government Microblogs Under Emergencies Based on a DEA Method," Information Systems Frontiers, Springer, vol. 24(5), pages 1-18, October.
    9. Milad Mirbabaie & Deborah Bunker & Stefan Stieglitz & Annika Deubel, 0. "Who Sets the Tone? Determining the Impact of Convergence Behaviour Archetypes in Social Media Crisis Communication," Information Systems Frontiers, Springer, vol. 0, pages 1-13.

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