Like/Dislike System Demo

Barter - Accountability & Mutual Interaction Tracking

Practical Applications

Social Platforms & Communities

Forum/Discussion Boards (Reddit, Stack Overflow)
  • Track engagement on threads, comments, and resources
  • Identify helpful vs. unhelpful content
  • Detect voting brigades or coordinated behavior
Content Platforms (Medium, Dev.to)
  • Gauge article/tutorial quality through reader feedback
  • Surface popular content in recommendation algorithms
  • Track author reputation based on consistent positive reactions

Moderation & Trust Systems

Gaming/Collusion Detection
  • Identify "mutual-lift" patterns (users systematically upvoting each other)
  • Detect "mutual-revenge" patterns (coordinated downvoting campaigns)
  • Flag suspicious behavior for moderator review
Reputation Systems
  • Weight reactions based on historical interaction patterns
  • Discount votes from users with mutual-lift relationships
  • Build trust scores that account for organic vs. coordinated engagement

Analytics & Insights

User Relationship Mapping
  • Visualize interaction networks between users
  • Identify communities or cliques based on mutual reactions
  • Detect feuds or conflicts through revenge patterns
Content Quality Metrics
  • Differentiate between genuinely popular content vs. artificially boosted
  • Track how users interact with different content types (threads, resources, comments, posts)
  • Analyze reaction timelines to understand sentiment changes over time

Recommendation Engines

  • Avoid recommending content from users in "mutual-revenge" relationships
  • Promote diverse perspectives by detecting echo chambers
  • Suggest connections between users with positive but non-mutual interactions
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Total Content
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Total Reactions
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Mutual Lifts
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Mutual Revenges

Interactive Controls

reactions on posts

Content Items

Mutual Interactions

Reaction Timeline

Select two users above to view reaction timeline