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A framework for understanding online group behaviors during a catastrophic event

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  • Kim, Jooho
  • Park, Hogun

Abstract

This study investigated the underlying mechanisms of online social media group behaviors in an emergency. The proposed framework was designed to analyze group behaviors/interactions and examine the main topics of interest among numerous tweets generated in an emergency. We collected tweets sent during Hurricane Harvey in 2017 and applied the framework to demonstrate its effectiveness. The proposed framework enables us to understand the unique characteristics of group interactions and develop operational strategies to effectively communicate with the public, as well as other groups, as critical emergency information appears in an online social network.

Suggested Citation

  • Kim, Jooho & Park, Hogun, 2020. "A framework for understanding online group behaviors during a catastrophic event," International Journal of Information Management, Elsevier, vol. 51(C).
    • Handle: RePEc:eee:ininma:v:51:y:2020:i:c:s0268401219308072
    DOI: 10.1016/j.ijinfomgt.2019.102051
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    Cited by:

    1. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).

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