KOLab
  • Overview
    • KOLs are Losing Billions
    • The Solution: Web3's First E/Acc Marketplace
  • Protocol Architecture
    • Basic Features
      • Client Facing Features
        • Influencer Finder
        • Performance Analyzer
        • Campaign Manager
        • Influencer Manager
      • Talent Facing Features
        • Account Management
        • KOL Bundling
        • Bounties
        • Equity Deals
    • Frontier Tech
      • 3 Step Flow
      • PromoteAPI
      • Object Based KOLs (truth terminal)
      • Real Time Ask (RTA) Infrastructure
        • Dynamic Campaign Pivoting
      • Brand Safety AI
      • Ad Metrics Market Making
      • Influencer Analytics Extension
  • MarDAO
    • Web3's First Public Agency
      • Dispute Mediation
      • Copytrade Strategy Creation
      • KOL Rating Algo: Sentegrity
        • Sentegrity Initial State Mathematics
  • KOLaboration Culture
    • Pot
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  • Tokenomics
    • $KOLAB Incentive Programs
      • Dynamic Emissions
      • Vesting
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    • KOLab Foundation
  • Appendix
    • Contract Addresses
    • Glossary of Terms
    • Reference Projects
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Dispute Mediation

PreviousWeb3's First Public AgencyNextCopytrade Strategy Creation

Last updated 7 months ago

MarDAO participants ("") receive $KOLAB for voting on the resolution of customer disputes. All aspects of the customer dispute process can be changed through a successful proposal to the DAO.

KOLab employs a slashing mechanism to discourage large stakers from refunding transactions they initiated by dominating the mediation vote.

Let's denote:

  • S: Staked tokens of a user

  • P: Slashing percentage

  • M: Misbehavior score

  • C: Cooldown period in epochs (a specific time period)

  • R: Reputation damage (a reduction in reputation points)

Slashing Penalty:

Slashing Penalty = S * P * M

Cooldown Period:

Cooldown Period = C * M

Reputation Damage:

Reputation Damage = R * M

Misbehavior Score Calculation:

This can be a complex function based on various factors. A simplified approach could be:

M = w1 * FD + w2 * CO + w3 * SA + w4 * BR

Where:

  • FD: Number of false disputes

  • CO: Collusion score (based on the complexity and impact of the collusion)

  • SA: Number of Sybil accounts detected

  • BR: Bribery score (based on the amount of bribes offered or accepted)

  • w1, w2, w3, w4: Weights assigned to each factor, determined by the DAO's governance.

Implementing the Slashing Mechanism

  1. Misbehavior Detection:

    • Use a combination of on-chain and off-chain techniques, including:

      • Smart contract analysis

      • Social graph analysis

      • Machine learning algorithms

  2. Evidence Gathering:

    • Collect evidence of misbehavior, such as transaction logs, social media posts, and witness testimonies.

  3. Community Voting:

    • Allow the DAO community to vote on the severity of the offense and the appropriate punishment.

  4. Slashing Execution:

    • Once a user is found guilty, their staked tokens are slashed, and they are subjected to a cooldown period and reputation damage.

The parameters of the slashing mechanism can be adjusted over time to adapt to changing circumstances through successful MarDAO proposals.

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