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Who Sets the Tone? Determining the Impact of Convergence Behaviour Archetypes in Social Media Crisis Communication

Author

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  • Milad Mirbabaie

    (University of Duisburg-Essen)

  • Deborah Bunker

    (The University of Sydney)

  • Stefan Stieglitz

    (University of Duisburg-Essen)

  • Annika Deubel

    (University of Duisburg-Essen)

Abstract

Convergence Behaviour Archetypes (CBA) describe the behavioural traits of individuals who spontaneously and collectively move towards emergency situations. If convergence is not managed effectively, unintended crisis management issues may emerge and lead to an exacerbation of the crisis situation. Social media users express different behavioural intentions while converging on a crisis. While these behavioural intentions have been analysed in previous research, an understanding of Convergence Behaviour facilitated by social media use to an effective and smart level of control, is yet to be achieved. Manual content and social network analyses were conducted on our Twitter dataset of the Manchester Bombing 2017 and this analysis identified three dominant convergence behaviour archetypes i.e. the Helpers, the Mourners and the Detectives. These archetypes had the highest crisis communications impact regarding their retweet behaviour. This work provides a better theoretical understanding of Convergence Behaviour archetype influence and impact on crisis communication, for Information Systems research and practice.

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  • 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.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09917-x
    DOI: 10.1007/s10796-019-09917-x
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    References listed on IDEAS

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    1. Saptarshi Ghosh & Kripabandhu Ghosh & Debasis Ganguly & Tanmoy Chakraborty & Gareth J. F. Jones & Marie-Francine Moens & Muhammad Imran, 2018. "Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(5), pages 901-907, October.
    2. 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.
    3. Tamal Mondal & Prithviraj Pramanik & Indrajit Bhattacharya & Naiwrita Boral & Saptarshi Ghosh, 2018. "Analysis and Early Detection of Rumors in a Post Disaster Scenario," Information Systems Frontiers, Springer, vol. 20(5), pages 961-979, October.
    4. Yogesh K. Dwivedi & Gerald Kelly & Marijn Janssen & Nripendra P. Rana & Emma L. Slade & Marc Clement, 2018. "Social Media: The Good, the Bad, and the Ugly," Information Systems Frontiers, Springer, vol. 20(3), pages 419-423, June.
    5. Fang Liu & Dongming Xu, 2018. "Social Roles and Consequences in Using Social Media in Disasters: a Structurational Perspective," Information Systems Frontiers, Springer, vol. 20(4), pages 693-711, August.
    6. Lingzi Hong & Cheng Fu & Jiahui Wu & Vanessa Frias-Martinez, 2018. "Information Needs and Communication Gaps between Citizens and Local Governments Online during Natural Disasters," Information Systems Frontiers, Springer, vol. 20(5), pages 1027-1039, October.
    7. Bjarke Mønsted & Piotr Sapieżyński & Emilio Ferrara & Sune Lehmann, 2017. "Evidence of complex contagion of information in social media: An experiment using Twitter bots," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-12, September.
    8. Cody Morris Paris & Simon Rubin, 2013. "Backpacking, Social Media, and Crises: A Discussion of Online Social Convergence," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 207-217, Springer.
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    Cited by:

    1. Amany Elbanna & Yogesh Dwivedi & Deborah Bunker & David Wastell, 0. "The Search for Smartness in Working, Living and Organising: Beyond the ‘Technomagic’," Information Systems Frontiers, Springer, vol. 0, pages 1-6.
    2. Amany Elbanna & Yogesh Dwivedi & Deborah Bunker & David Wastell, 2020. "The Search for Smartness in Working, Living and Organising: Beyond the ‘Technomagic’," Information Systems Frontiers, Springer, vol. 22(2), pages 275-280, April.
    3. Milad Mirbabaie & Christian Ehnis & Stefan Stieglitz & Deborah Bunker & Tanja Rose, 2021. "Digital Nudging in Social Media Disaster Communication," Information Systems Frontiers, Springer, vol. 23(5), pages 1097-1113, September.

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