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.
翻译:QAnon是一个极右的阴谋理论,在过去几年中成为了流行和主流。令人担心的是,QAnon阴谋理论在现实世界中产生了影响,理论的支持者参与了真实世界的暴力行动,如2021年的美国apititol攻击。与此同时,QAnon理论开始演变成一个全球现象,吸引全球各地,特别是欧洲的追随者。因此,必须了解QAnon理论如何成为全球现象,以及这种传播在网上空间中是如何发生的。本文通过Telegram对QAnon进行了大规模的数据分析,收集了161个QAnon团体/频道发布的4.5M信息。同时,我们利用Google的视角API,分析了QAnon内容在各种语言和时间上的毒性。此外,我们用基于BERT的主题模型分析多种语言的QAnon对话。我们发现,在Teleglegram上的反Q-Conel, 甚至在Telegram上收集了以45MM发布于Q的信息, 在2020年以后,我们从各种有毒的理论中, 也从各种理论中, 可以看到了我们从德国的Orental 上张贴到英国。