Beyond the Rabbit Hole: Mapping the Relational Harms of QAnon Radicalization

arXiv:2601.17658 · cs.CL · Submitted 2026-01-25 · Read on arXiv

cs.CL

Submitted: 2026-01-25

Updated: 2026-08-28

Terminology

• Archetype — 14× in this paper · explained in 1 episode
• Clustering — 7× in this paper · explained in 2 episodes
• Object of Narration — 4× in this paper
• Trace — 3× in this paper · explained in 2 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Additive Decomposition — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Isometric Log-Ratio — 1× in this paper
• Latent Dirichlet Allocation — 1× in this paper
• Predictive Modeling — 1× in this paper · explained in 2 episodes
• Sequential Binary Partition — 1× in this paper

Sources

• How well can machine learning predict demographics of social media users?
• Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
• From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs

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