Stating Rules or Imparting Knowledge? An Intervention Experiment on the Trust and Sharing of Seismic Rumors in the Beijing-Tianjin-Hebei Area of China

Lei Sun, Jun Guo, Xingyu Liu

International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (6) : 853-866.

International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (6) : 853-866. DOI: 10.1007/s13753-024-00601-6
Article

Stating Rules or Imparting Knowledge? An Intervention Experiment on the Trust and Sharing of Seismic Rumors in the Beijing-Tianjin-Hebei Area of China

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Abstract

Seismic rumors can mislead the public and trigger unnecessary actions, underscoring the importance of their control in disaster management. This study examined the impact of two different intervention tools—rule-based intervention and knowledge-based intervention—on the trust and sharing of seismic rumors. We designed a survey experiment to explore this issue, and 500 respondents participated in the experiment. The results indicate that the rule-based intervention significantly reduced the public’s trust in and intention to share seismic rumors, but the knowledge-based intervention failed. Possible mechanisms are that the rule-based intervention raises awareness of the unreliability of disaster information sources and costs associated with sharing rumors. It is suggested that communicating the existing rules and policies regarding disaster information release might be an effective approach to rendering disaster rumors uncreditable and then reducing people’s intention to share. These findings enrich our understanding of the effectiveness of different intervention tools regarding rumor behavior in disaster scenarios and offer insights for practical seismic rumor management.

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Lei Sun, Jun Guo, Xingyu Liu. Stating Rules or Imparting Knowledge? An Intervention Experiment on the Trust and Sharing of Seismic Rumors in the Beijing-Tianjin-Hebei Area of China. International Journal of Disaster Risk Science, 2024, 15(6): 853‒866 https://doi.org/10.1007/s13753-024-00601-6

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