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Growing concern surrounds the impact of social media platforms on public discourse1–4 and their influence on social dynamics5–9, especially in the context of toxicity10–12. Here, to better understand these phenomena, we use a comparative approach to isolate human behavioural patterns across multiple social media platforms. In particular, we analyse conversations in different online communities, focusing on identifying consistent patterns of toxic content. Drawing from an extensive dataset that spans eight platforms over 34 years—from Usenet to contemporary social media—our findings show consistent conversation patterns and user behaviour, irrespective of the platform, topic or time. Notably, although long conversations consistently exhibit higher toxicity, toxic language does not invariably discourage people from participating in a conversation, and toxicity does not necessarily escalate as discussions evolve. Our analysis suggests that debates and contras ....

South Korea , United States , Francisci Morales , Facebook Community Standards , Conference On Online Social Networks , European Language Resources Association , Wh Network , Terms Of Service , How Does Youtube Enforce Its Community Guidelines , Meeting Of The Association For Computational Linguistics , International World Wide Web Conferences Steering Committee , Association For Computational Linguistics , Association For Computing Machinery , Association For The Advancement Of Artificial Intelligence , Social Netw , Media Soc , Wide Web Conference , Human Factors , Computing Systems , Computing Machinery , Science Conference , Language Resources , Evaluation Conference , Social Media , Artificial Intelligence , Knowledge Discovery ,