How AI Evaluates Post Risk: 3-Level Assessment Explained with Real Examples [2026]
Quick Summary
The 5 assessment axes behind AI risk evaluation, weighted for creator-specific flame risks. Real examples with reasoning, and where human judgment is still needed.
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Here's the 5-axis assessment system, real examples, and where AI still needs human judgment.
The industry-first AI flame risk assessment uses a large language model to analyze post text and assign risk levels: high, medium, or low. This article explains the assessment axes, shows real examples, and covers where AI gets it wrong.
"Gemini is a family of multimodal large language models developed by Google DeepMind."
Source: Google AI — Gemini API https://ai.google.dev/gemini-api/docs (last confirmed: 2026-06-04)
The 5 assessment axes
Harassment & aggression
Personal attacks, discrimination, hate speech. Includes attacks on fans, antis, and peers
Personal info & privacy
Doxxing: address, phone, real name, workplace. Weighted heavily for VTuber identity protection
Sponsor & business risk
Criticism of sponsors, contract violations, statements damaging professional reputation
Political & social risk
Aggressive political takes, conspiracy theories, bias against groups
Inappropriate humor
Offensive jokes, insensitive memes, crude humor. Once-acceptable content now flagged as risky
Real assessment examples
Post: "Honestly, sponsor X's products are kinda meh"
Post: "The anti who commented on yesterday's stream was so annoying"
Post: "Thanks everyone who came to today's live! 🎤✨"
"Deletes a specific Post by its ID, if owned by the authenticated user."
Source: X API — Delete Post https://docs.x.com/x-api/posts/delete-post (last confirmed: 2026-06-04)
Where AI needs human judgment
- Context-dependent posts: A single reply in a thread can be misjudged without the full conversation
- Inside jokes: Community banter that's harmless in context can look suspicious to AI
- Emoji-only posts: Too little text for accurate scoring — defaults to low risk
- New slang: Latest internet expressions not in training data may get missed
That's why every post in the report links directly to X — you can verify the AI's call with one click before committing to deletion.
"Rate limits control the number of requests you can make to each endpoint."
Source: X API — Rate Limits https://docs.x.com/en/docs/x-api/rate-limits (last confirmed: 2026-06-04)
AI is a tool, not a judge. You make the final call
AI quickly surfaces risk candidates from thousands of posts. Use it as an assistant — not a replacement for your own judgment. Free estimate available.
Frequently Asked Questions
If I worry about AI post risk evaluation, should I review old posts now?
Yes. Reputation and identity risks are easier to reduce before a recruiter, partner, or third party surfaces the old content.
Are private or alt accounts automatically safe?
No. Identity clues, shared followers, reused handles, and historical links can still expose the account.
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