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Using a Heuristic-Systematic Model to assess the Twitter user profile’s impact on disaster tweet credibility

Author

Listed:
  • Son, Jaebong
  • Lee, Jintae
  • Oh, Onook
  • Lee, Hyung Koo
  • Woo, Jiyoung

Abstract

Journalists, emergency responders, and the general public use Twitter during disasters as an effective means to disseminate emergency information. However, there is a growing concern about the credibility of disaster tweets. This concern negatively influences Twitter users’ decisions about whether to retweet information, which can delay the dissemination of accurate—and sometimes essential—communications during a crisis. Although verifying information credibility is often a time-consuming task requiring considerable cognitive effort, researchers have yet to explore how people manage this task while using Twitter during disaster situations.

Suggested Citation

  • Son, Jaebong & Lee, Jintae & Oh, Onook & Lee, Hyung Koo & Woo, Jiyoung, 2020. "Using a Heuristic-Systematic Model to assess the Twitter user profile’s impact on disaster tweet credibility," International Journal of Information Management, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ininma:v:54:y:2020:i:c:s0268401219312526
    DOI: 10.1016/j.ijinfomgt.2020.102176
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    Cited by:

    1. Fan, Liu & Wang, Yawei & Mou, Jian, 2024. "Enjoy to read and enjoy to shop: An investigation on the impact of product information presentation on purchase intention in digital content marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Wang, Di & Lu, Jiahui & Zhong, Ying, 2023. "Futile or fertile? The effect of persuasive strategies on citizen engagement in COVID-19 vaccine-related tweets across six national health departments," Social Science & Medicine, Elsevier, vol. 317(C).
    3. Wang, Dongyi & Luo, Xin (Robert) & Hua, Ying & Benitez, Jose, 2023. "Customers’ help-seeking propensity and decisions in brands’ self-built live streaming E-Commerce: A mixed-methods and fsQCA investigation from a dual-process perspective," Journal of Business Research, Elsevier, vol. 156(C).

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