🤖 AI Summary
This study systematically compares the political discourse ecosystems of the emerging right-wing platform Truth Social and conservative communities on Reddit, investigating how platform architectures shape the form and tone of political discussion. Leveraging FASTopic for topic modeling augmented by large language model–assisted analysis, the research examines large-scale user content across dimensions of topic distribution, toxicity levels, and temporal dynamics. Findings reveal that Truth Social is characterized by narrative-driven expressions of grievance and exhibits a higher baseline of user political engagement, whereas Reddit centers more on policy-oriented debate but demonstrates consistently higher overall toxicity—particularly spiking in discussions concerning cultural issues and political leadership. This work provides the first empirical evidence of how distinct platform designs structurally influence the rhetorical styles and interaction patterns within conservative online discourse.
📝 Abstract
We present the first large-scale comparative analysis of Truth Social and the most popular conservative Reddit communities, r/Conservative, r/conservatives, and r/Republican. Using topic modeling with FASTopic and LLM-assisted refinement, we analyze topic prevalence, toxicity, and temporal dynamics across these communities during the first eight months of Truth Social. We find clear contrasts: Truth Social centers on grievance and narrative-driven content, while Reddit focuses more on policy debates. Toxicity is higher on Reddit and peaks in cultural and leader-focused topics. Despite similar event-driven participation shocks across platforms, Truth Social shows higher baseline proportions of users engaging with political topics. Our findings contribute to understanding how alternative right-leaning platforms reshape online discourse.