Meta-Synthetic Methodology: A New Way to Study Agricultural Rumor Intervention

文献类型： 外文期刊

第一作者： Tian, Ruya

作者： Tian, Ruya;Wu, Lei;Zhang, Xuefu;Tian, Ruya;Wu, Lei;Zhang, Xuefu;Liu, Yijun

作者机构：

关键词： Meta-synthetic methodology;Online public opinion system;Agricultural rumor intervention;Intervention mechanism

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT I

ISSN： 1868-4238

年卷期： 2016 年 478 卷

页码：

收录情况： SCI

摘要： Intervention of online public opinion, especially agricultural rumors, has increasingly become an important issue that is related to the online society safety and reflecting the managers' social management capabilities. In this paper, meta-synthetic methodology was used to investigate the intervention mechanism of online public opinion system. General characteristics of online public opinion system were characterized qualitatively, and an opinion super-network model was built to analyze the intervention mechanism quantitatively. We put forward a rumor intervention mechanism including intervention timing, intervention mode, and intervention intensity. Based on system modeling and simulation, an agricultural rumor case was used to verify the practical effects of online agricultural rumor intervention. The results show that rumor intervention based on meta-synthetic methodology produces good results. This investigation will help to provide a reliable basis for the development of more sophisticated and effective rumor intervention strategies.

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