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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 koreaUnited statesFrancisci moralesFacebook community standardsConference on online social networksEuropean language resources associationWh networkTerms of serviceHow does youtube enforce its community guidelinesMeeting of the association for computational linguisticsInternational world wide web conferences steering committeeAssociation for computational linguisticsAssociation for computing machineryAssociation for the advancement of artificial intelligenceSocial netwMedia soc