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Area of Science:

  • Computational Social Science
  • Human-Computer Interaction
  • Online Communication Studies

Background:

  • Social media platforms significantly impact public discourse and social dynamics.
  • Concerns exist regarding the prevalence and effects of online toxicity.
  • Understanding user behavior across diverse online communities is crucial.

Purpose of the Study:

  • To comparatively analyze human behavioral patterns across multiple social media platforms.
  • To identify consistent patterns of toxic content in online conversations.
  • To investigate the relationship between conversation length, toxicity, and user participation.

Main Methods:

  • Analysis of an extensive dataset spanning eight platforms over 34 years, from Usenet to contemporary social media.
  • Comparative approach to isolate behavioral patterns across different online communities.
  • Focus on identifying consistent patterns of toxic content and user engagement.

Main Results:

  • Consistent conversation patterns and user behavior were observed across platforms, topics, and time.
  • Longer conversations showed higher toxicity, but toxicity did not always deter participation or escalate.
  • Debates and contrasting user sentiments were linked to more intense discussions.

Conclusions:

  • Human behavior plays a pivotal role in shaping online discourse, persisting across decades and platform changes.
  • Toxicity's impact on participation and escalation is more nuanced than previously assumed.
  • Understanding these persistent patterns is key to addressing online communication challenges.