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作 者:杨仁彪 尹春晓 Yang Renbiao;Yin Chunxiao(School of Computer and Information Science,Southwest University,Chongqing 400715;Faculty of Education,Southwest University,Chongqing 400715)
机构地区:[1]西南大学计算机与信息科学学院,重庆400715 [2]西南大学教育学部,重庆400715
出 处:《图书情报工作》2023年第24期72-84,共13页Library and Information Service
基 金:重庆市自然科学基金面上项目“社交平台视域下具有免疫逃逸效应的谣言传播与管控模型研究”(项目编号:CSTB2023NSCQMSX0989);国家自然科学基金青年项目“网络不实信息可信性探索:认知启发双重影响机制及其边界条件研究”(项目编号:71701169);中央高校基本科研业务费专项“基于社交媒体的媒介素养教育中公众参与度提升路径研究”(项目编号:SWU2209211)研究成果之一。
摘 要:[目的/意义]网络辟谣作为一种应对谣言传播问题的有效途径,增强辟谣信息的传播效果显得尤为重要。辟谣信息的传播效果受到多重因素影响,并且与谣言产生与传播的现实情境紧密相关,所以探讨多元情境中辟谣信息高传播效果的组合因素有着重要的理论意义和实践意义。[方法/过程]从多元情境视角出发,通过搜集微博与短视频辟谣信息相关数据,运用模糊集定性比较分析方法(fsQCA)从谣言类型、辟谣主体和辟谣渠道三个维度分别探究不同情境下辟谣信息高传播效果的组合因素差异。[结果/结论 ]研究发现,不同谣言类型、辟谣主体以及辟谣渠道中网络辟谣信息传播效果的组合因素存在显著差异。此外,不同情境下部分辟谣信息影响因素的作用效果有所不同,这为现有研究中不统一的结论提供了区别于传统方差视角的解释机制。本研究主要创新点如下:(1)探究多情境下辟谣信息传播效果的组合因素差异;(2)为人们理解现有研究中不一致的结论提供新的理论视角;(3)为组态分析方法的应用提供新的思路。[Purpose/Significance] As an effective way to deal with rumor dissemination, it is especially important to enhance the rumor refutal dissemination effect. It is affected by multiple factors, and is closely related to the real situation of rumor generation and dissemination. So exploring the combination factors of high dissemination effect of refuting rumor in multiple situations has important theoretical and practical significance. [Method/Process] Starting from the perspective of multiple contexts, this paper collected data related to rumor refutal on microblogs and short videos, and applied the fuzzy set qualitative comparative analysis method(fsQCA) to explore the differences in the combination factors of the high dissemination effect of refuting rumor in different contexts from the dimensions of rumor type, rumor-refuting subject, and rumor-refuting channel, respectively. [Result/Conclusion] It is found that the combination factors of the online rumor refutal dissemination effect has significant differences in different rumor types, rumor-refuting subjects and channels. In addition, the effect of some influencing factors on rumor refutal shows its own features in different contexts, which explains the inconsistent conclusions in the existing studies from different perspective of traditional variance. The main innovations include that it explores the differences in the combination factors of the rumor refutal dissemination effect in multiple contexts, and provides a new theoretical perspective for understanding the inconsistent conclusions in existing studies, and a new way of thinking about the application of the group analysis method.
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