The moderating effects of 5W-based elements on rumor refutation strategies on social media during public health emergency: A case study of COVID-19 pandemic

IF 6.9 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2025-03-10 DOI:10.1016/j.ipm.2025.104131
Xuefan Dong , Xueying Lian , Ying Lian
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Abstract

In the digital era, effectively managing rumors on social media during public health emergencies remains a significant challenge, highlighting a gap in understanding the optimal strategies for refutation. This study used the COVID-19 pandemic as a case to explore the effectiveness of different rumor refutation strategies on social media during acute public health emergencies, with a specific focus on the moderating effects of the elements contained in the refutation texts based on the 5 W theory. By leveraging the comprehensive and structured nature of the 5 W elements (What, When, Where, Who, and Why), this study provides a novel framework for evaluating and optimizing refutation strategies. A total of 22,648 refutation posts related to COVID-19 from the Weibo platform in 2020 were employed from empirical analysis. Findings indicate that the combination of direct refutation with factual clarification is more effective in enhancing the credibility and dissemination of reputation information compared to isolated strategies. Importantly, the study highlights the moderating role of specific rumor characteristics, such as the rumor's name, location, and the underlying reasons, on the effectiveness of these strategies. Furthermore, the study provides practical policy recommendations based on empirical findings. Overall, this research enriches the academic discourse on rumor management, offering innovative applications of the 5 W theory and detailed analysis of moderating effects, and provides empirical guidance for public health communicators and policymakers in tailoring refutation strategies to specific characteristics of rumors for more effective rumor containment.
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突发公共卫生事件中5w要素对社交媒体辟谣策略的调节作用——以2019冠状病毒病疫情为例
在数字时代,在突发公共卫生事件期间有效管理社交媒体上的谣言仍然是一项重大挑战,突出表明在了解最佳反驳策略方面存在差距。本研究以2019冠状病毒病大流行为例,探讨突发公共卫生事件中社交媒体上不同辟谣策略的有效性,并基于5w理论,特别关注辟谣文本中所含元素的调节作用。通过利用5w要素(What, When, Where, Who, and Why)的全面性和结构性,本研究为评估和优化反驳策略提供了一个新的框架。采用实证分析的方法,选取2020年微博平台上与新冠肺炎相关的22648条反驳微博。研究结果表明,与孤立策略相比,直接反驳与事实澄清相结合在提高信誉信息的可信度和传播方面更有效。重要的是,该研究强调了特定谣言特征(如谣言的名称、地点和潜在原因)对这些策略有效性的调节作用。此外,本文还根据实证结果提出了切实可行的政策建议。总体而言,本研究丰富了谣言管理的学术论述,提供了5w理论的创新应用和详细的调节效应分析,并为公共卫生传播者和政策制定者根据谣言的具体特征定制反驳策略以更有效地遏制谣言提供了经验指导。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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