{"title":"Beyond the 5G-COVID moment: the scope of EMF mis- and disinformation on German-language social media.","authors":"Tobias Eder, Katja Aue, Larissa Drescher, Kerstin Dressel, Georg Groh, Jutta Roosen","doi":"10.1088/1361-6498/aea624","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50068,"journal":{"name":"Journal of Radiological Protection","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiological Protection","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1088/1361-6498/aea624","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
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.