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Use of microblogging for collective sense‐making during violent crises: A study of three campus shootings

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  • Thomas Heverin
  • Lisl Zach

Abstract

The purpose of this study is to understand how microblogging communications change and contribute to collective sense‐making over time during a crisis. Using B. Dervin's (1983) theory of sense‐making applied to crises and communications during crises, we examined 7,184 microblogging communications sent in response to three violent crises that occurred on U.S. college campuses. The analysis of patterns of microblogging communications found that information‐sharing behaviors dominated the early response phase of violent crises, and opinion sharing increased over time, peaking in the recovery phase of the crises. The analysis of individual microblogging communications identified various themes in the conversation threads that not only helped individual contributors make sense of the situation but also helped others who followed the conversation. The results of this study show that microblogging can play a vital role in collective sense‐making during crises.

Suggested Citation

  • Thomas Heverin & Lisl Zach, 2012. "Use of microblogging for collective sense‐making during violent crises: A study of three campus shootings," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 34-47, January.
    • Handle: RePEc:bla:jamist:v:63:y:2012:i:1:p:34-47
    DOI: 10.1002/asi.21685
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    Cited by:

    1. Jaebong Son & Jintae Lee & Kai R. Larsen & Jiyoung Woo, 2020. "Understanding the uncertainty of disaster tweets and its effect on retweeting: The perspectives of uncertainty reduction theory and information entropy," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1145-1161, October.
    2. 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.
    3. Lorenzo Frangi & Tingting Zhang & Robert Hebdon, 2020. "Tweeting and Retweeting for Fight for $15: Unions as Dinosaur Opinion Leaders?," British Journal of Industrial Relations, London School of Economics, vol. 58(2), pages 301-335, June.
    4. Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana & Abhinav Kumar & Kawaljeet Kaur Kapoor, 2019. "Event classification and location prediction from tweets during disasters," Annals of Operations Research, Springer, vol. 283(1), pages 737-757, December.
    5. Jennifer Fromm & Kaan Eyilmez & Melina Baßfeld & Tim A. Majchrzak & Stefan Stieglitz, 2023. "Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms," Information Systems Frontiers, Springer, vol. 25(1), pages 303-326, February.
    6. Li, Xianghua & Wang, Zhen & Gao, Chao & Shi, Lei, 2017. "Reasoning human emotional responses from large-scale social and public media," Applied Mathematics and Computation, Elsevier, vol. 310(C), pages 182-193.
    7. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.
    8. Stan Karanasios & Aljona Zorina, 2023. "From participation roles to socio‐emotional information roles: Insights from the closure of an online community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 33-49, January.

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