Hilberts Sonya, Govers Mark, Petelos Elena, Evers Silvia
Department Health Services Research, CAPHRI School at Faculty of Health, Medicine and Life Sciences, Maastricht University, Bonnefantenstraat 2, Maastricht, 6211 KL, The Netherlands, 61455420982.
Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
JMIR Infodemiology. 2025 Jul 31;5:e70413. doi: 10.2196/70413.
Misinformation on social media during natural disasters has become a significant challenge, with the potential to increase public confusion, panic, and distrust. Although individuals rely on social media platforms for timely updates during crises, these platforms also facilitate the rapid spread of unverified and misleading information. Consequently, misinformation can hamper emergency response efforts, misdirect resources, and distort public perception of the disaster's true severity.
This narrative review aims to (1) critically evaluate the available evidence; (2) unpack the dynamics of misinformation on social media in the context of natural disasters, specifically natural hazards, shedding light on the challenges, implications, and potential solutions; and (3) develop a conceptual model linking misinformation, public impact, and disasters, grounded in sourced evidence.
The narrative review examines the impact of social media misinformation in the context of natural disasters. The literature search was conducted using the PubMed database and Google Scholar in April 2024. Studies eligible for inclusion were published in English, with no restrictions on publication date, geographic region, or target population. The inclusion criteria focused on the original research that examined social media misinformation related to natural disasters, specifically natural hazards.
From an initial pool of 173 studies, 9 studies met the inclusion criteria for this review. The selected studies revealed consistent patterns in how misinformation spreads during natural disasters, highlighting the role of users, some influencers, and bots in amplified false narratives. The misleading messages disseminated across social media platforms often outpaced official communications, resulting in reduced trust and exacerbating anxiety, stress, and fear among affected populations. This heightened emotional response and erosion of trust in official communications influenced an individual's susceptibility to the misinformation and prompted inappropriate actions. Consequently, such actions led to resource misallocation, overwhelmed emergency services, and diverted attention away from genuine needs. Collectively, these factors negatively impacted public health outcomes and diminished the effectiveness of emergency management efforts, as illustrated in the conceptual model developed to provide a greater understanding of this critical area of study.
This narrative review highlights the significant impact of misinformation in the context of natural disasters, specifically natural hazards. It stresses the urgent need for disaster preparedness and response plans that include targeted interventions such as real-time misinformation detection technologies, public education campaigns focused on digital literacy, and proactive debunking initiatives. Implementing these strategies can help mitigate the harmful effects of misinformation, strengthen public trust in official communications, enhance the effectiveness of disaster response, and improve public health outcomes.
自然灾害期间社交媒体上的错误信息已成为一项重大挑战,有可能加剧公众的困惑、恐慌和不信任。尽管个人在危机期间依赖社交媒体平台获取及时更新的信息,但这些平台也助长了未经证实和误导性信息的迅速传播。因此,错误信息可能会阻碍应急响应工作,误导资源分配,并扭曲公众对灾害真实严重程度的认知。
本叙述性综述旨在(1)批判性地评估现有证据;(2)剖析自然灾害背景下社交媒体上错误信息的动态,特别是自然危害方面,阐明挑战、影响及潜在解决方案;(3)基于来源证据构建一个将错误信息、公众影响和灾害联系起来的概念模型。
该叙述性综述考察了自然灾害背景下社交媒体错误信息的影响。2024年4月使用PubMed数据库和谷歌学术进行文献检索。纳入标准聚焦于研究社交媒体上与自然灾害特别是自然危害相关的错误信息的原创研究。符合纳入标准的研究需以英文发表,对发表日期、地理区域或目标人群无限制。
从最初的173项研究中,9项研究符合本综述的纳入标准。所选研究揭示了自然灾害期间错误信息传播的一致模式,突出了用户、一些有影响力的人和机器人在放大虚假叙述中的作用。在社交媒体平台上传播的误导性信息往往超过官方通信,导致信任度降低,并加剧受影响人群的焦虑、压力和恐惧。这种情绪反应加剧以及对官方通信信任的侵蚀影响了个人对错误信息的易感性,并促使采取不恰当行动。因此,此类行动导致资源分配不当、应急服务不堪重负,并使注意力从真正需求上转移。总体而言,这些因素对公众健康结果产生负面影响,并削弱了应急管理工作的有效性,如所构建的概念模型所示,该模型有助于更好地理解这一关键研究领域。
本叙述性综述强调了错误信息在自然灾害特别是自然危害背景下的重大影响。它强调迫切需要制定备灾和应对计划,其中包括针对性干预措施,如实时错误信息检测技术、专注于数字素养的公众教育活动以及积极的辟谣举措。实施这些策略有助于减轻错误信息的有害影响,增强公众对官方通信的信任,提高灾害应对的有效性,并改善公众健康结果。