Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media
Wentao Xu, Wenlu Fan, Shiqian Lu, Tenghao Li, Bin Wang

TL;DR
This study analyzes millions of social media debunking posts to understand how platform features, user engagement, and emotional expression influence toxicity and polarization in online political discussions.
Contribution
It provides a comparative analysis of toxicity and polarization across Twitter and Reddit in debunking efforts related to U.S. elections and conspiracy theories.
Findings
Peripheral users significantly influence toxic discourse.
Platform mechanisms impact levels of polarization and toxicity.
Increased interaction correlates with reduced toxicity, especially on Reddit.
Abstract
The rise of misinformation and fake news in online political discourse poses significant challenges to democratic processes and public engagement. While debunking efforts aim to counteract misinformation and foster fact-based dialogue, these discussions often involve language toxicity and emotional polarization. We examined over 86 million debunking tweets and more than 4 million Reddit debunking comments to investigate the relationship between language toxicity, pessimism, and social polarization in debunking efforts. Focusing on discussions of the 2016 and 2020 U.S. presidential elections and the QAnon conspiracy theory, our analysis reveals three key findings: (1) peripheral participants (1-degree users) play a disproportionate role in shaping toxic discourse, driven by lower community accountability and emotional expression; (2) platform mechanisms significantly influence…
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