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On the Globalization of the QAnon Conspiracy Theory Through Telegram

Conference Paper (2023)
Author(s)

Mohamad Hoseini (Max Planck Institut für Informatik)

Philipe Melo (Universidade Federal de Minas Gerais)

Fabricio Benevenuto (Universidade Federal de Minas Gerais)

Anja Feldmann (Max Planck Institut für Informatik)

Savvas Zannettou (TU Delft - Organisation & Governance)

Research Group
Organisation & Governance
Copyright
© 2023 Mohamad Hoseini, Philipe Melo, Fabricio Benevenuto, Anja Feldmann, S. Zannettou
DOI related publication
https://doi.org/10.1145/3578503.3583603
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Mohamad Hoseini, Philipe Melo, Fabricio Benevenuto, Anja Feldmann, S. Zannettou
Research Group
Organisation & Governance
Pages (from-to)
75-85
ISBN (electronic)
979-8-4007-0089-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

QAnon is a far-right conspiracy theory that 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, hence it is imperative to understand how QAnon has become 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 4.4M 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 our QAnon dataset, 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 QAnon.