Comparing the Language of QAnon-related content on Parler, Gab, and Twitter
Andrea Sipka, Aniko Hannak, Aleksandra Urman

TL;DR
This study compares QAnon-related content across Parler, Gab, and Twitter, revealing differences in toxicity, hate speech, and thematic focus, highlighting platform-specific discourse patterns and content characteristics.
Contribution
It provides a cross-platform analysis of QAnon-related posts, uncovering distinct content and language features on Parler, Gab, and Twitter, which was previously unexplored.
Findings
Parler has the highest average toxicity in QAnon posts.
Gab has the highest proportion of hate terms in QAnon posts.
Twitter discussions focus on QAnon and are critical of it.
Abstract
Parler, a "free speech" platform popular with conservatives, was taken offline in January 2021 due to the lack of moderation of hateful and QAnon- and other conspiracy-related content that allegedly made it instrumental in the organisation of the storming of the US Capitol on January 6. However, Parler co-existed with other social media platforms, and comparative studies are needed to draw conclusions about the prevalence of anti-social language, hate speech, or conspiracy theory content on the platform. We address this through a cross-platform comparison of posts related to QAnon. We compare posts with the hashtag #QAnon on Parler over a month-long period with posts on Twitter and Gab. In our analysis, Parler emerges as the platform with the highest average toxicity of the posts, though this largely stems from the distinctive way hashtags are used on this platform. Gab has the highest…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Misinformation and Its Impacts
