On the Globalization of the QAnon Conspiracy Theory Through Telegram
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Abstract (arXiv)
QAnon is a far-right conspiracy theory that became popular and mainstream over the past few years. Worryingly, the QAnon conspiracy theory has implications in the real world, with supporters of the theory participating in real-world violent acts like the US capitol attack in 2021. At the same time, the QAnon theory started evolving into a global phenomenon by attracting followers across the globe and, in particular, in Europe. Therefore, it is imperative to understand how the QAnon theory became a worldwide phenomenon and how this dissemination has been happening in the online space. This paper performs a large-scale data analysis of QAnon through Telegram by collecting 4.5M messages posted in 161 QAnon groups/channels. Using Google's Perspective API, we analyze the toxicity of QAnon content across languages and over time. Also, using a BERT-based topic modeling approach, we analyze the QAnon discourse across multiple languages. Among other things, we find that the German language is prevalent in QAnon groups/channels on Telegram, even overshadowing English after 2020. Also, we find that content posted in German and Portuguese tends to be more toxic compared to English. Our topic modeling indicates that QAnon supporters discuss various topics of interest within far-right movements, including world politics, conspiracy theories, COVID-19, and the anti-vaccination movement. Taken all together, we perform the first multilingual study on QAnon through Telegram and paint a nuanced overview of the globalization of the QAnon theory.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 May 2021.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 5; 2024: 2; 2025: 2; 2026: 1.
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- 2023Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweetscited by 6
- 2024More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegramcited by 6
- 2021Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movementscited by 5
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegramcited by 5
- 2023How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online contentcited by 4
- 2024Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Modelscited by 4
- 2022The MeLa BitChute Datasetcited by 2
- 2022Detecting Conspiracy Theory Against COVID-19 Vaccinescited by 2
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learningcited by 2
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speechcited by 2
- 2021Online antisemitism across platformscited by 1
- 2023The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Datasetcited by 0
2 more
- 2026Misinformation Span Detection in Videos via Audio Transcripts23 Apr 2026
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech28 Apr 2025
- 2025Uncovering Conspiratorial Narratives within Arabic Online Content18 Apr 2025
- 2024More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram11 Oct 2024
- 2024Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models27 Apr 2024
- 2023How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online content5 Oct 2023
- 2023The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset29 Aug 2023
- 2023Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweets28 Apr 2023
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learning3 Mar 2023
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram25 Jan 2023
- 2022Detecting Conspiracy Theory Against COVID-19 Vaccines20 Nov 2022
- 2022The MeLa BitChute Dataset10 Feb 2022
2 more
- 2021Online antisemitism across platforms14 Dec 2021
- 2021Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements26 Nov 2021
- 2023Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweetscited by 6
- 2024More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegramcited by 6
- 2021Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movementscited by 5
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegramcited by 5
- 2023How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online contentcited by 4
- 2024Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Modelscited by 4
- 2022The MeLa BitChute Datasetcited by 2
- 2022Detecting Conspiracy Theory Against COVID-19 Vaccinescited by 2
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learningcited by 2
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speechcited by 2
- 2021Online antisemitism across platformscited by 1
- 2023The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Datasetcited by 0
12 most cited of 14 All 14 (JSON)
- 2026Misinformation Span Detection in Videos via Audio Transcripts23 Apr 2026
- 2025Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech28 Apr 2025
- 2025Uncovering Conspiratorial Narratives within Arabic Online Content18 Apr 2025
- 2024More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram11 Oct 2024
- 2024Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models27 Apr 2024
- 2023How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online content5 Oct 2023
- 2023The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset29 Aug 2023
- 2023Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweets28 Apr 2023
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learning3 Mar 2023
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram25 Jan 2023
- 2022Detecting Conspiracy Theory Against COVID-19 Vaccines20 Nov 2022
- 2022The MeLa BitChute Dataset10 Feb 2022
12 newest of 14 All 14 (JSON)