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Guides

Launching a Token-Curated List of Approved Content Moderators

This guide provides a technical implementation for a Token-Curated Registry (TCR) to manage a decentralized list of vetted content moderators. It covers contract architecture, staking, challenge periods, and slashing conditions.
Chainscore © 2026
introduction
TUTORIAL

Launching a Token-Curated List of Approved Content Moderators

A practical guide to building a decentralized, stake-weighted registry for community-driven content moderation.

A Token-Curated Registry (TCR) is a decentralized list where entry and ranking are governed by token holders. For content moderation, this creates a transparent system where the community, not a central authority, curates a list of trusted moderators. Participants stake the platform's native token to propose, challenge, or vote on moderator candidates. This mechanism aligns incentives: good moderators are rewarded and retained, while bad actors can be slashed and removed. TCRs transform moderation from a top-down policy into a cryptoeconomic game with verifiable, on-chain outcomes.

To launch a TCR for moderators, you first need to define the listing criteria. What makes a qualified moderator? Criteria should be objective and verifiable, such as a minimum time commitment, a track record of fair decisions (perhaps from a reputation oracle), or completion of a training module. These rules are encoded into the TCR's smart contract, which automatically enforces the application and challenge process. The contract manages the staking pool, holds deposits during dispute periods, and distributes rewards or penalties based on voter outcomes.

The core workflow involves three key actions: apply, challenge, and vote. A candidate stakes tokens to apply for listing. During a challenge period, any token holder can dispute the application by matching the stake, triggering a vote. All token holders then vote to either accept or reject the candidate. The winning side gets its stake back plus a portion of the loser's stake. This skin-in-the-game model ensures that challenges are only made when there is a credible case, as challengers risk losing their deposit.

For implementation, you can build on existing frameworks like the AdChain Registry smart contracts or use a TCR-specific SDK such as tcr-org/tcr-contracts. A basic Solidity contract would include functions for apply(), challenge(), and resolveChallenge(), along with a mapping to track each listing's status and stake. The contract must also manage a commit-reveal voting scheme to prevent vote sniping. Front-end integration, using a library like ethers.js or web3.js, allows users to interact with the contract through a simple dApp interface.

Consider key parameters during design: the application stake amount, challenge period duration (e.g., 7 days), and the vote quorum. These parameters directly impact security and usability. A high stake deters spam but may exclude good candidates; a short challenge period increases speed but reduces deliberation time. Successful TCRs often start with conservative parameters and implement a governance mechanism allowing token holders to vote on parameter adjustments later, as seen in projects like Messari's Uniswap v3 TCR.

The final step is bootstrapping participation. A TCR is useless without an active token-holding community. Strategies include an initial airdrop to platform users, a liquidity mining program to distribute tokens for participation, or integrating the token into the platform's core utility (e.g., paying fees with it). Continuous analysis of the registry's health—measuring challenge rates, voter participation, and listing quality—is essential. This data informs parameter updates and ensures the TCR remains a effective, trust-minimized tool for decentralized moderation.

prerequisites
TUTORIAL

Prerequisites and Setup

This guide outlines the technical and conceptual prerequisites for launching a token-curated list (TCL) of content moderators, a decentralized governance mechanism for managing community standards.

A token-curated list is a smart contract application where a list of approved entities (in this case, moderators) is maintained by token holders. The core mechanism involves a bonding curve for list membership: prospective moderators must stake a security deposit (in the native TCL token) to apply, and token holders vote to accept or challenge their inclusion. This creates a cryptoeconomic incentive for curators to select high-quality, honest moderators, as a successful challenge results in the challenger earning the applicant's stake. You will need a working understanding of Ethereum smart contracts, Solidity, and basic decentralized governance principles.

Before writing any code, you must define the key parameters for your system. These include: the application deposit amount (e.g., 1000 TCL tokens), the challenge period duration (e.g., 7 days), the vote commitment period (e.g., 3 days), and the required vote quorum (e.g., 30% of total token supply). You will also need to decide on a voting mechanism; a simple majority is common, but you could implement more complex systems like conviction voting or quadratic voting. These parameters are hardcoded into your smart contracts and dictate the game theory of your moderation system.

Your development environment must include Node.js (v18+), npm or yarn, and a code editor like VS Code. You will use Hardhat or Foundry as your development framework for compiling, testing, and deploying Solidity contracts. For local testing, install a local blockchain emulator like Hardhat Network. Essential libraries include OpenZeppelin Contracts for secure, audited base contracts (like ERC20 for your TCL token and governance utilities) and Waffle or Hardhat Chai Matchers for writing comprehensive unit tests. Initialize your project with npx hardhat init to set up the basic structure.

The core of the system consists of three primary smart contracts. First, an ERC20 token contract (e.g., TCLToken.sol) that represents the curation rights and staking asset. Second, the main Registry contract (ModeratorRegistry.sol) that manages the list, applications, challenges, and voting. This contract will inherit from and use components of OpenZeppelin's governance libraries. Third, a Voting contract to handle the vote commitment and resolution logic, which can be separate or integrated into the Registry. You will write and deploy these contracts to a testnet (like Sepolia or Goerli) for initial validation before considering a mainnet launch.

Comprehensive testing is non-negotiable for a cryptoeconomic system. Write tests for all possible state transitions: a successful application and listing, a failed challenge, a successful challenge where the deposit is slashed, and votes that do not meet quorum. Use Hardhat's mainnet forking capabilities to simulate real gas costs and chain interactions. After testing, you will need a deployment script (deploy.js or Deploy.s.sol) that: 1. Deploys the TCL token, 2. Deploys the Registry contract, linking it to the token, and 3. Possibly transfers initial token supply to a distributor or launches a liquidity pool. Always verify your contracts on a block explorer like Etherscan after deployment.

core-architecture
CORE SMART CONTRACT ARCHITECTURE

Launching a Token-Curated List of Approved Content Moderators

A technical guide to building a decentralized governance system where token holders vote to approve and manage a list of trusted content moderators.

A token-curated list (TCL) is a decentralized registry where membership is governed by the holders of a native token. In the context of content moderation, this creates a sybil-resistant mechanism for communities to collectively identify and empower trusted moderators. The core smart contract architecture must manage three primary functions: allowing token holders to propose new moderators, enabling the token-weighted community to vote on these proposals, and maintaining the canonical list of approved addresses. This shifts power from a centralized admin key to a distributed stakeholder model, aligning moderator incentives with the long-term health of the platform.

The foundational contract is the Registry, which stores the official list of approved moderator addresses. It exposes critical functions like addModerator(address _moderator) and removeModerator(address _moderator), but these should be callable only by a separate Governor contract, not by users directly. This separation of concerns enhances security and auditability. The Registry should also include view functions like isApprovedModerator(address _addr) that other contracts (e.g., a forum or social media dApp) can query to check a user's moderator status, enabling decentralized enforcement of moderation actions.

Proposal and voting logic is housed in the Governor contract. A typical flow begins with a proposeModerator(address _nominee, string _metadataURI) function, which requires the proposer to stake a bond of governance tokens. This creates a new proposal with a defined voting period. During this period, token holders call castVote(uint proposalId, bool support) using a token-weighted voting mechanism, such as the checkpointed votes from OpenZeppelin's ERC20Votes standard. The proposal passes if it meets a predefined quorum and majority threshold. Upon success, the Governor contract automatically calls the Registry to add the nominee.

To prevent governance attacks, the system must incorporate safeguards. These include a challenge period after a moderator is added, during which any token holder can post a security deposit to challenge the new member's inclusion. This triggers a secondary vote to adjudicate the challenge. Additionally, implementing a minimum token stake for proposals and a time-lock on executing successful votes are critical. The time-lock gives the community a final window to react to a malicious proposal that may have slipped through, a pattern used effectively by systems like Compound's Governor.

For development, you can build upon audited frameworks. OpenZeppelin provides the modular components: use ERC20Votes for the governance token, Governor for the proposal core, and TimelockController for delayed execution. A basic proposal lifecycle in Solidity might look like this snippet for the voting logic:

solidity
function castVote(uint256 proposalId, uint8 support) public virtual override returns (uint256) {
    address voter = _msgSender();
    uint256 weight = _getVotes(voter, proposalSnapshot(proposalId), "");
    require(weight > 0, "GovernorVotingSimple: vote not allowed");
    _countVote(proposalId, voter, support, weight, _defaultParams());
    return weight;
}

This leverages the snapshot mechanism to ensure voting power is calculated from a historical block.

Finally, the system's utility depends on integration. The dApp requiring moderation services should, in its critical functions, query the on-chain Registry. For example, a function to delete a post might include the check: require(registry.isApprovedModerator(msg.sender), "Not an approved moderator");. This completes the loop, giving the token-curated list real power. By deploying this architecture, you create a transparent, community-owned credential system where the cost to corrupt the moderator list scales with the value of the governance token itself.

key-concepts
BUILDING A TRUSTED CURATOR NETWORK

Key TCR Concepts for Moderation

A Token-Curated Registry (TCR) for content moderators uses economic incentives to create a decentralized, reputation-based approval system. These concepts define how to launch and govern a list of trusted human reviewers.

04

Registry Curation vs. Direct Moderation

A key distinction is that the TCR curates the list of moderators, not the content itself. The approved moderators are then the entities who perform the actual content review and decision-making off-chain or via a separate on-system. This separates the economic game (who is trusted) from the subjective application of policy (what is allowed).

06

Exit Mechanisms and Upgradability

A practical TCR must include mechanisms for participants to exit. This includes:

  • Withdrawal Period: A delay before a listed moderator can withdraw their stake, allowing for final challenges.
  • Registry Migration: A process to upgrade the TCR's smart contracts or parameters, often requiring a super-majority vote. Without these, the system can become stuck or insecure.
implementation-steps
STEP-BY-STEP IMPLEMENTATION

Launching a Token-Curated List of Approved Content Moderators

This guide details the technical implementation of a token-curated registry (TCR) for managing a decentralized list of vetted content moderators, using smart contracts on Ethereum.

A Token-Curated Registry (TCR) is a decentralized list where the right to add or remove entries is governed by token holders. For a list of approved content moderators, this creates a self-governing, Sybil-resistant system. The core components are a registry contract storing the list, a token contract for governance, and a challenge mechanism to dispute listings. The process involves a user applying to the list by depositing tokens, entering a challenge period where token holders can vote to accept or reject the application, and final resolution based on the vote outcome. This aligns incentives, as token holders are financially motivated to curate a high-quality list.

The first step is deploying the smart contracts. You'll need a standard ERC-20 token (like using OpenZeppelin's library) for voting power and a main registry contract. The registry must manage the lifecycle of each listing application. A basic application struct in Solidity might look like this:

solidity
struct Application {
    address applicant;
    uint deposit;
    uint applicationEndDate;
    bool challenged;
    uint totalTokensFor;
    uint totalTokensAgainst;
}

The contract functions include apply(), challenge(), and resolve(). The apply function requires the applicant to stake a deposit, which is at risk during the challenge period. Use a library like OpenZeppelin Contracts for secure, audited base implementations.

After deployment, you must initialize the TCR parameters. These are critical for security and function: the application deposit amount, challenge period duration (e.g., 7 days), and the commit-reveal voting period for challenges. Setting the deposit too low invites spam; setting it too high excludes legitimate candidates. The challenge period must be long enough for the community to organize a vote. You can use a commit-reveal voting scheme to prevent last-minute vote sniping. These parameters are often set by the contract deployer and can be governed by the token holders via a DAO proposal in a later upgrade, making the system adaptable.

The final phase is integrating the TCR with your application's frontend and backend. Your dApp's moderation interface should query the registry contract to check if a user's address is on the approved list. Use The Graph to index on-chain application and challenge events for efficient querying. For example, a subgraph can track all ApplicationCreated and ChallengeCreated events. The frontend should guide users through the application flow: connecting a wallet, approving token spend, and submitting the transaction. It should also display active challenges and voting status. This creates a seamless user experience for both applicants and token-holding curators participating in governance.

CRITICAL SETTINGS

TCR Configuration Parameters

Key parameters for configuring a token-curated registry for content moderators, balancing security, participation, and cost.

ParameterConservativeBalancedAggressive

Application Stake

2,000 TKN

1,000 TKN

500 TKN

Challenge Stake Deposit

4,000 TKN

2,000 TKN

1,000 TKN

Challenge Period Duration

7 days

3 days

1 day

Vote Commitment Period

2 days

1 day

12 hours

Dispensation Percentage (Winner)

50%

60%

70%

Minimum Voter Participation

30% of total supply

15% of total supply

5% of total supply

Governance Proposal Threshold

5% of total supply

2.5% of total supply

1% of total supply

TOKEN-CURATED REGISTRIES

Frequently Asked Questions

Common technical questions and troubleshooting for developers implementing a token-curated list (TCR) for content moderators.

A Token-Curated Registry (TCR) is a decentralized application where a list of approved entities—in this case, content moderators—is maintained through token-based economic incentives. It uses a staking and challenge mechanism to ensure list quality.

How it works:

  1. A prospective moderator submits an application by depositing a stake of the native registry token.
  2. The submission enters a challenge period. Any token holder can challenge it by matching the stake, triggering a vote.
  3. Token holders vote to either keep or remove the applicant. The losing side forfeits its stake to the winners.

This creates a cryptoeconomic system where the cost of a bad listing (spam, unqualified moderators) is borne by the submitter or their supporters, aligning incentives for a high-quality list.

TOKEN-CURATED REGISTRIES

Common Issues and Troubleshooting

This guide addresses frequent technical challenges and developer questions encountered when launching a token-curated list (TCR) for content moderators, focusing on smart contract logic, incentive alignment, and operational pitfalls.

An incorrectly set challenge period is a common design flaw that can break your TCR's security model.

  • Too Short (< 2-3 days): Does not give the community enough time to review a listing proposal and gather a stake for a challenge. This can lead to malicious or low-quality content being approved uncontested.
  • Too Long (> 7 days): Creates excessive friction for legitimate applicants, slowing down the curation process and potentially discouraging participation.

Best Practice: Base the period on the complexity of the role. For content moderators, a 3-5 day challenge period is typical. This allows for community scrutiny without causing undue delay. The period should be a configurable parameter in your smart contract, not a hardcoded value.

solidity
// Example of a configurable parameter
uint public challengePeriodDuration = 5 days;
conclusion
IMPLEMENTATION

Next Steps and Security Considerations

After designing your token-curated list (TCL) for content moderators, you must implement the system securely and plan for its long-term governance.

Begin by deploying the core smart contracts. Use a testnet like Sepolia or Holesky for initial testing. Key contracts include the Registry for managing the list, a Staking contract for the required bond, and a Voting contract for challenges. Ensure you implement a time-lock or challenge period for new applications, such as a 7-day window where any token holder can challenge a candidate's inclusion by posting a matching bond. This mechanism, inspired by projects like AdChain, prevents Sybil attacks by making malicious entry economically costly.

Security is paramount. Conduct a professional audit before mainnet deployment. Common vulnerabilities in TCLs include reentrancy in staking logic, incorrect vote tallying, and centralization risks in admin functions. Use established libraries like OpenZeppelin for access control and consider implementing a timelock controller for any privileged operations. All contract upgrades should follow a transparent, community-governed process, potentially using a DAO framework like Aragon or Colony to manage the protocol's parameters.

For the frontend, build a simple dApp that interacts with your contracts. Use a framework like Next.js with wagmi and viem for Ethereum interaction. The interface should allow users to: view the current list, apply to join (staking the bond), challenge existing moderators, and vote on active challenges. Display key metrics like total stake, challenge success rate, and moderator activity to build trust. Host the frontend in a decentralized manner using IPFS and ENS to align with Web3 principles.

Long-term governance involves managing the list's economic parameters. The required staking bond must be high enough to deter spam but not so high it excludes legitimate candidates. You may need a governance vote to adjust this amount over time. Furthermore, establish clear, on-chain guidelines for what constitutes a successful challenge. Should challenges be based on demonstrable misconduct, or subjective community sentiment? Encoding objective criteria reduces governance overhead and potential disputes.

Finally, plan for ecosystem growth. Integrate your TCL with other protocols. For instance, a social media dApp could query your registry contract to automatically assign moderation privileges. Publish your contract addresses and ABI on platforms like Dune Analytics to enable community dashboards. Monitor key health indicators: application rate, challenge frequency, and the ratio of active to inactive moderators. A healthy list requires ongoing participation, so consider reward mechanisms, like a share of platform fees, for active and effective moderators.

How to Build a Token-Curated Registry for Content Moderators | ChainScore Guides