Moderation policies aim to reduce harm online, yet banning conspiratorial communities can trigger migration and reformation elsewhere. Comparing users of banned Reddit groups with their counterparts on Voat, this study shows that conspiracy networks reconstruct their social ties and activity levels after deplatforming, sustaining both engagement and toxicity. The results underscore the adaptive resilience of conspiratorial ecosystems, calling for moderation strategies that account for cross-platform behavior.

Online debates are often portrayed as ideological echo chambers, yet the structure of conversation can mirror offline social boundaries instead. Analyzing millions of interactions in Reddit’s news discussions, this study shows that users connect more across ideological lines than across demographic divides such as age and income. The findings reveal how latent social stratification shapes digital communication, suggesting that online polarization often reproduces material divisions rather than belief systems.

The idea that social media create echo chambers overlooks how users actually interact across partisan lines. Studying millions of comments around the 2016 U.S. elections, this analysis finds that cross-cutting exchanges between Trump and Clinton supporters were more frequent than within-group ones, though asymmetrical and demographically patterned. The findings challenge the dominant polarization narrative, showing how political interaction networks can sustain contact even amid ideological division.

The rise of political alienation reflects growing detachment from institutions even within stable democracies. Using over 35 million Italian tweets, this study applies machine learning time-series models to track expressions of disaffection and compare them with survey indicators of public trust. The analysis demonstrates that collective sentiment on social media mirrors shifts in public opinion, revealing how online discourse can function as a real-time barometer of civic disengagement.