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 7.4 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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引用次数: 0

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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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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