| Abstract:This study examines fifty accident and disaster events from 2011 to 2022, employing the fuzzy-set qualitative comparative analysis (fsQCA) method to explore the conditions and pathways for generating effective public opinion guidance in accident and disaster events. The analysis is structured around four dimensions: the subject of public opinion guidance, the medium of public opinion guidance, the object of public opinion guidance, and the attributes of public opinion-inducing entities. The findings reveal that the number of participating platforms, the highest level of government intervention, and the administrative level of the accident and disaster location are the most critical factors influencing the effectiveness of public opinion guidance. Furthermore, the pathways for generating effective public opinion guidance are categorized into three types: government-media collaboration, media-netizen interaction, and tripartite collaboration among the government, media, and netizens. In guiding public opinion during accident and disaster events, it is crucial to emphasize the coordinated participation of multiple platforms and high-level government involvement. Simultaneously, it is imperative to strengthen collaboration among the government, media, and netizens, particularly between the government and media, as well as between media and netizens. |
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