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Telegram Content Moderation System 1-Week Launch Checklist: Vocabulary Migration, Project Linking, and Team Acceptance

Telegram Content Moderation Launch Checklist

Telegram Content Moderation System 1-Week Go-Live Checklist: Lexicon Migration, Project Association, and Team Acceptance

Deploying a content moderation system isn’t just about “installing software”—it’s about ensuring every message sent by agents passes rule checks and that the team can correctly respond to triggered events. Many teams fall into three common pitfalls when deploying content moderation: missing key risk words in the lexicon, failing to properly associate risk phrase groups with projects, and agents being unfamiliar with post-trigger workflows. The result is that the system goes live, but non-compliant messages still get sent, rendering compliance audits useless.

This Content Moderation Go-Live Checklist breaks down the deployment process into 7 days, covering the entire workflow from lexicon migration, project association, agent training, to team acceptance. Whether you are using TG-Staff Pro’s internal control management features or planning to build your own bot’s compliance system, this checklist will help you reduce post-launch risk incidents and improve team compliance efficiency.


H2: Why Do You Need a Content Moderation Go-Live Checklist?

Content moderation is not a “set it and forget it” feature. It is a closed-loop process involving data organization, rule configuration, personnel training, and continuous auditing. Missing any step can lead to:

  • Lexicon omissions: Only common sensitive words are compiled, but business-specific risk words (e.g., specific crypto wallet addresses, competitor brand names) are overlooked, causing agents to unknowingly violate rules.
  • Inactive rules: Risk phrase groups are configured correctly but not associated with the right bot projects, or associated with the wrong scope, rendering the rules ineffective.
  • Unaware agents: Agents see a pop-up blocking their message but don’t know how to handle it, either repeatedly trying to bypass it or simply abandoning the conversation, hurting customer service efficiency.
  • Missing audit trails: Trigger logs are not retained, or cannot be traced back to specific agents or conversations, leaving no evidence for compliance audits.

A structured Content Moderation Go-Live Checklist helps teams systematically avoid these issues, ensuring the moderation system is smoothly deployed within 7 days rather than constantly patching holes after launch.


H2: Days 1–2: Lexicon Inventory and Migration

This is the most basic yet often overlooked step. Many teams simply copy publicly available lists of sensitive words from the internet, either missing industry-specific risk words or causing excessive false positives due to overly broad lexicons, disrupting agent workflows.

H3: Where to Collect Risk Words?

We recommend systematically compiling risk words from the following four sources:

  1. Historical chat logs: Export customer service conversations from the past 3–6 months and search for messages that were complained about by users or later flagged as violations. These are the most authentic sources of risk words.
  2. Industry blacklists: For cross-border or Web3 projects, refer to public industry blacklists (e.g., phishing domain names, scam wallet addresses, malicious Telegram usernames). Note that these lists need regular updates.
  3. Compliance policy documents: Content explicitly prohibited in internal compliance manuals, user agreements, or community rules (e.g., incentive sharing, false advertising, politically sensitive terms).
  4. Customer complaint records: Consult frontline customer service teams about which types of messages frequently trigger user complaints or reports. These are often blind spots not covered by existing rules.

H3: Lexicon Format and Grouping Tips

Organize your lexicon in CSV or Excel format and group by business scenario. TG-Staff’s content moderation module supports risk phrase group management, allowing each group to be independently named and associated with projects.

Recommended grouping example:

Group NameRisk Word ExamplesApplicable Scenario
Payment AddressesTXYZ123... (TRC20 address fragment), 0xABC... (ERC20 address fragment)Web3 / Exchange projects, prevent agents from mistakenly sending payment addresses
Inducement Linkshttp://bit.ly/, t.me/joinchat/ (unofficial group links)Community management projects, prevent sending unauthorized referral links
Competitor Mentions某竞品品牌名, 某竞品 Bot 名称Brand protection scenarios
Sensitive WordsTerms explicitly prohibited by company policyUniversal across all projects

Tip: For wallet address risk words, use address fragments (e.g., the first 8–12 characters) rather than full addresses. This ensures matching target addresses while avoiding misses due to case or format differences in user input.


H2: Days 3–4: Project-Level Risk Word Association and Rule Configuration

After compiling the lexicon, the next step is to associate risk phrase groups with specific bot projects in TG-Staff and configure trigger actions.

Configuration Steps Overview

  1. Log in to the TG-Staff Console.
  2. Navigate to “Internal Control Management” → “Risk Phrase Groups,” import or create the phrase groups you organized in the previous steps.
  3. Set trigger actions for each risk phrase group:
    • Pop-up confirmation: When an agent sends a message containing risk words, a pop-up prompts “This message contains risk words. Are you sure you want to send?” The agent can choose “Confirm Send” or “Edit Message.”
    • Block sending: Directly block the message from being sent and prompt the agent to modify it.
  4. Go to “Project Settings” and associate the corresponding risk phrase groups with each bot project.

Tip: Wallet Address Monitoring Scenario

If you operate a Web3 exchange, NFT project, or cryptocurrency payment tool, it is recommended to configure TRC20, ERC20, and BTC address fragments as independent risk phrases. For example, add TXYZ123 (your official receiving address fragment) to the phrase list and set the trigger action to “popup for secondary confirmation.” This way, when an agent sends a receiving address to a user, the system will alert: “This message contains a receiving address. Please confirm whether it is requested by the user,” effectively preventing accidental sending or agents privately soliciting transfers from users.

Key Configuration Checks

  • Project Scope: Ensure each project is associated with the correct risk phrase group. For example, Project A should only be linked to the “Payment Address” phrase group, while Project B should be linked to both “Phishing Link” and “Sensitive Words” groups.
  • Trigger Action: For high-sensitivity words (e.g., politically sensitive terms, payment addresses), it is recommended to set the action as “Block Sending”; for medium-risk words (e.g., competitor mentions), setting it to “Popup Confirmation” offers more flexibility.
  • Audit Records: Confirm that trigger records can be queried under “Internal Control” → “Trigger Records”, including agent, session, trigger time, and specific risk words.

H2: Day 5: Agent Training and Simulation Drills

After configuration, if agents do not know how to handle risk control pop-ups, issues will still arise once the system goes live. The training goal is: to help agents understand the rules, know what to do when triggered, and be willing to cooperate.

H3: Training Materials Checklist

Prepare the following materials, preferably in document or screenshot format, to distribute to agents:

  1. Risk Word List (Redacted): List only the risk word categories and trigger rules, excluding specific high-sensitivity words (e.g., full payment addresses) to prevent information leakage.
  2. Post-Trigger Action Flowchart: Use a diagram to illustrate the complete process: agent sends a message → system pop-up → agent selects “Confirm Send,” “Modify Message,” or “Report.”
  3. Violation Reporting Channel: If an agent believes a message was falsely triggered or identifies new risk words, they should know how to report to the administrator. Use TG-Staff’s customer service bot (@tgstaff_robot) or an internal group chat.

H3: Simulation Drill Script Example

Organize a 30-minute simulation drill to let agents practice the process.

Script Example:

  1. The administrator configures a risk word test_risk_123 in a test project with the trigger action set to “Popup Confirmation.”
  2. The agent logs into the web portal and enters a session in the test project.
  3. The agent sends a message 你好,请把款项打到 test_risk_123 地址.
  4. The system displays a pop-up: “The message contains the risk word test_risk_123. Confirm sending?”
  5. The agent selects “Modify Message,” replaces test_risk_123 with 官方收款地址, and resends.
  6. The administrator checks the trigger event in “Trigger Records” to confirm the record is complete.

Drill Objective: Each agent should complete at least 2 simulated triggers (one confirming send, one modifying message) to ensure familiarity with the process.


H2: Days 6–7: Team Acceptance and Formal Launch

The final two days are for acceptance. Do not switch directly to the production environment; first conduct a thorough check.

Pre-Launch Checklist (Checkable Items)

✅ All bot projects are linked to the correct risk phrase sets (check the “Internal Control Management” config page for each project)
✅ At least 3 mock drills completed (covering different risk phrase sets and trigger actions)
✅ All agents have completed training and signed acknowledgment (training time recommended to record)
✅ Trigger logs can be queried normally under “Internal Control Management” → “Trigger Logs”
✅ Risk phrase library fully migrated from old system/Excel with no omissions
✅ Defined update process for risk phrase library (responsible person + update frequency)
✅ Agent violation reporting channel established and tested

After passing acceptance, switch the content moderation rules to the production environment. It is recommended to first enable the ‘popup confirmation’ mode for 1–2 days to observe the false trigger rate and agent feedback, and only then switch the action for high-sensitivity phrases to ‘block sending’.


FAQ

Q: How often should the risk phrase library be updated?

A: We recommend updating at least once a month, or immediately after business policy changes or new types of prohibited speech emerge. For example, when new phishing domains or scam wallet addresses are discovered, they should be added to the risk phrase list promptly.

Q: How long are content moderation trigger records retained?

A: TG-Staff Pro retains trigger records long-term, including agent, session, trigger time, and specific risk phrases, for compliance auditing. For specific retention periods, refer to the TG-Staff documentation or contact customer support.

Q: If two projects are linked to different risk phrase groups, what happens when an agent handles both projects simultaneously?

A: The system automatically applies the corresponding risk phrase rules based on the project of the current session, without confusion. When handling sessions of project A, only project A rules are triggered; when handling project B, only project B rules are triggered.

Q: Can agents bypass the popup confirmation after triggering moderation?

A: No. TG-Staff’s internal control requires agents to make a choice in the popup; it cannot be closed or ignored, ensuring every outbound message is checked. This is a core compliance capability of the Pro version.

Q: Can I test content moderation during the free trial?

A: Content moderation is a Pro feature. During the free trial, you can experience all Pro capabilities. After the trial, you need to upgrade to Pro to continue using it. We recommend completing phrase library migration and simulation tests within the trial period to confirm the feature meets your needs before deciding to pay.


Start Building Your Content Moderation System Today

Content moderation is not a one-time setup task but an ongoing compliance process. With this Content Moderation Launch Checklist, you can systematically complete phrase library migration, project association, agent training, and team acceptance, ensuring a smooth rollout within 7 days.

Act now:

  • Start a free trial: Visit the TG-Staff App Console to register and experience full content moderation features.
  • Read configuration docs: Visit the TG-Staff Documentation Center for detailed guides on risk phrases, project association, and audit logs.
  • Contact support: Add @tgstaff_robot for launch assistance or to inquire about Pro plan details (pricing per official plan page).

Don’t wait for a compliance incident to take action. Start building your Telegram content moderation system today.