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Rewarding genuine engagement

Attention Economics

The attention economy as currently structured extracts value from users while optimizing for engagement at any cost. Our research explores alternative economic models that align platform incentives with user wellbeing.

We're developing token-based systems that reward quality contributions and meaningful engagement rather than addictive scroll patterns. This includes mechanisms for distinguishing genuine attention from bot activity, quality signal detection that's resistant to gaming, and sustainable creator economics that don't require surveillance advertising.

Research Topics

Token-based attention reward mechanismsAnti-bot and sybil-resistant proof-of-personhoodQuality signal detection and content rankingSustainable creator monetization modelsAttention budgeting and digital wellnessDecentralized moderation incentives

Key Findings

  • Research in progress, findings coming soon

Future Directions

  • Large-scale pilots of token-incentivized content platforms
  • Formal models of attention value in social networks
  • Integration with identity systems for sybil resistance

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Attention Economics | Research | Blackweb.AI | Blackweb AI