No Calm in The Storm: Investigating QAnon Website Relationships
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Abstract (arXiv)
QAnon is a far-right conspiracy theory whose followers largely organize online. In this work, we use web crawls seeded from two of the largest QAnon hotbeds on the Internet, Voat and 8kun, to build a QAnon-centered domain-based hyperlink graph. We use this graph to identify, understand, and learn about the set of websites that spread QAnon content online. Specifically, we curate the largest list of QAnon centered websites to date, from which we document the types of QAnon sites, their hosting providers, as well as their popularity. We further analyze QAnon websites' connection to mainstream news and misinformation online, highlighting the outsized role misinformation websites play in spreading the conspiracy. Finally, we leverage the observed relationship between QAnon and misinformation sites to build a highly accurate random forest classifier that distinguishes between misinformation and authentic news sites. Our results demonstrate new and effective ways to study the growing presence of conspiracy theories and misinformation on the Internet.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jun 2021.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 2.
5 papers.
- 2022Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Redditcited by 11
- 2023Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scalecited by 7
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegramcited by 5
- 2025Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websitescited by 1
- 2025CrediBench: Building Web-Scale Network Datasets for Information Integritycited by 0
- 2025CrediBench: Building Web-Scale Network Datasets for Information Integrity27 Sep 2025
- 2025Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites15 Jan 2025
- 2023Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale3 Aug 2023
- 2023Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram25 Jan 2023
- 2022Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit28 May 2022