Beyond the 5G-COVID moment: the scope of EMF mis- and disinformation on German-language social media.

IF 1.7 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Tobias Eder, Katja Aue, Larissa Drescher, Kerstin Dressel, Georg Groh, Jutta Roosen
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Abstract

Public perception of health risks from electromagnetic fields (EMF) and 5G mobile networks diverges persistently from the scientific evidence base, a gap increasingly shaped by social media. While existing research has examined the acute COVID-5G conspiracy episode on individual platforms, systematic multi-platform analyses of the broader EMF misinformation landscape remain scarce. This study presents a mixed-methods analysis of EMF and 5G-related misinformation across YouTube, Telegram, and Twitter/X in German-language social media, combining automated classification, sentiment analysis, and topic modelling with structured qualitative content analysis. The three corpora comprise over 430 000 posts from more than 16 000 accounts, covering content published primarily between 2019 and 2024. The analysis reveals that EMF misinformation circulates in a predominantly pseudo-expert communicative register rather than overtly inflammatory language, is structurally embedded within broader conspiracy ecosystems rather than circulating as standalone content, and is sustained by commercial incentive structures alongside ideological motivations. The three platforms serve complementary functional roles within an integrated distribution network. While the pandemic-era peak in activity has subsided, the underlying network infrastructure remains intact. The findings establish an empirical baseline for the German-language EMF misinformation landscape against which future developments, including the impact of generative AI on misinformation production, can be measured.

超越5G-COVID时刻:德语社交媒体上EMF错误和虚假信息的范围。
公众对电磁场(EMF)和5G移动网络健康风险的认知与科学证据基础持续存在分歧,这一差距日益受到社交媒体的影响。虽然现有研究已经检查了个别平台上的急性COVID-5G阴谋事件,但对更广泛的EMF错误信息情况进行系统的多平台分析仍然很少。本研究对德语社交媒体上YouTube、Telegram和Twitter/X上的EMF和5g相关错误信息进行了混合方法分析,将自动分类、情感分析和主题建模与结构化定性内容分析相结合。这三个语料库包括来自16,000多个账户的43万多条帖子,涵盖了主要在2019年至2024年之间发布的内容。分析显示,EMF的错误信息主要以伪专家的交流方式传播,而不是公开的煽动性语言,在结构上嵌入更广泛的阴谋生态系统,而不是作为独立的内容传播,并由商业激励结构和意识形态动机共同维持。这三个平台在一个综合的分销网络中发挥互补的功能作用。虽然大流行时期的活动高峰已经消退,但潜在的网络基础设施仍然完好无损。研究结果为德语EMF错误信息格局建立了一个经验基线,可以据此衡量未来的发展,包括生成式人工智能对错误信息产生的影响。
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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来源期刊
Journal of Radiological Protection
Journal of Radiological Protection 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
2.60
自引率
26.70%
发文量
137
审稿时长
18-36 weeks
期刊介绍: Journal of Radiological Protection publishes articles on all aspects of radiological protection, including non-ionising as well as ionising radiations. Fields of interest range from research, development and theory to operational matters, education and training. The very wide spectrum of its topics includes: dosimetry, instrument development, specialized measuring techniques, epidemiology, biological effects (in vivo and in vitro) and risk and environmental impact assessments. The journal encourages publication of data and code as well as results.
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