Disinformation as an obstructionist strategy in climate change mitigation: a review of the scientific literature for a systemic understanding of the phenomenon.

Open research Europe Pub Date : 2024-09-24 eCollection Date: 2024-01-01 DOI:10.12688/openreseurope.18180.2
Manuel Gertrudix, Alejandro Carbonell-Alcocer, Rubén Arcos, Cristina M Arribas, Valeri Codesido-Linares, Nerea Benítez-Aranda
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Abstract

Background: This study examines the scientific misinformation about climate change, in particular obstructionist strategies. The study aims to understand their impact on public perception and climate policy and emphasises the need for a systemic understanding that includes the financial, economic and political roots.

Methods: A systematic literature review (SLR) was conducted using the PRISMA 2020 model. The sample consisted of 75 articles published between 2019 and 2023, sourced from Web of Science, Scopus and Google Scholar. Methodological triangulation was performed to improve the analysis.

Results: The results show that technological approaches to misinformation detection, such as immunisation and fact-checking, are widely used. However, few studies look in depth at the operational structures that support systematic disinformation.

Conclusions: The study emphasises the urgent need to expand and deepen research on climate disinformation and argues for more global, comparative and adequately funded studies. It emphasises the importance of addressing the systemic complexity of disinformation and integrating different theoretical and methodological approaches. This will help to develop effective measures against hidden networks of influence and mitigate their disruptive effects. The research findings are relevant for policymakers, scientists, academics, the media and the public and will help to improve strategies to combat climate misinformation and promote science-based climate action.

将虚假信息作为减缓气候变化的阻挠策略:回顾科学文献以系统了解这一现象。
背景:本研究探讨了有关气候变化的科学误导,尤其是阻挠战略。研究旨在了解其对公众认知和气候政策的影响,并强调需要系统地了解包括金融、经济和政治根源在内的各种因素:方法:采用 PRISMA 2020 模型进行了系统文献综述(SLR)。样本包括 2019 年至 2023 年间发表的 75 篇文章,来源于 Web of Science、Scopus 和 Google Scholar。为改进分析,还进行了方法三角测量:结果表明,错误信息检测的技术方法,如免疫和事实检查,得到了广泛应用。然而,很少有研究深入探讨支持系统性虚假信息的运作结构:本研究强调,迫切需要扩大和深化对气候虚假信息的研究,并主张开展更多全球性、比较性和资金充足的研究。它强调了解决虚假信息的系统复杂性以及整合不同理论和方法的重要性。这将有助于针对隐蔽的影响网络制定有效措施,并减轻其破坏性影响。这些研究成果对政策制定者、科学家、学者、媒体和公众都具有现实意义,将有助于改进打击气候误导的战略,促进以科学为基础的气候行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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