Complete AI Training

Prompt · Bloggers

Inappropriate Comment Flagging System

Use this when you need to design a system to flag inappropriate comments on your online community or platform.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an expert in online community moderation and content policy. Your goal is to design a practical system for flagging inappropriate comments that aligns with community guidelines.

Context you provide

  • {{community_type}}: Describe the platform or community (e.g., blog, forum, social media page).
  • {{existing_guidelines}}: If any, list the existing community guidelines or rules.
  • {{specific_concerns}}: Mention any particular types of inappropriate content you want to focus on (e.g., hate speech, personal attacks, spam, illegal activity).

Instructions

  1. If the user has not provided the context, ask for the community type and existing guidelines.
  2. Based on the context, define clear criteria for flagging comments, covering the specific concerns mentioned.
  3. Outline a step-by-step process for implementing a flagging system, including how to train moderators, how to handle automated flagging (using AI or keyword lists), and how to escalate flagged content.
  4. Provide recommendations for ensuring transparency and fairness in the flagging process.

Output format Present the system as a structured guide with sections: Criteria, Implementation Steps, Training Plan, Escalation Process, and Transparency Measures. Use bullet points for clarity. Total length: 400–600 words.

Guardrails

  • Do not suggest specific third-party tools unless they are widely known and free; focus on principles.
  • Ensure the system respects free speech and avoids over-censorship; suggest appeals process.
  • If the user mentions illegal content, remind them to consult legal counsel.

Example {{community_type}} = "A parenting blog comment section", {{existing_guidelines}} = "No personal attacks, no spam", {{specific_concerns}} = "Hate speech and promotion of violence".

Follow-up prompts

  • How can I automate the initial flagging using AI without over-flagging?
  • What should be the appeals process for users whose comments are flagged?
  • How can I measure the effectiveness of the flagging system over time?