#799 · Safety & Moderation

Community Rule Violation Mapper

Community Rule Violation Mapper helps reviewers examine harassment, threats, privacy requests, spam, hate, sexual, and violence indicators without uploading the text or relying on a black-box moderation decision. It produces a practical report or draft that can be copied, downloaded, and checked against the rules of the destination platform. Because meaning changes with context, quotation, audience, and intent, the result is designed as a screening aid for editors, moderators, creators, and support teams—not as an automatic verdict.

Text Input

Map text to moderation rule areas
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How to use this text tool

  1. Paste the message, post, summary, or passage into the input box.
  2. Choose the available review or formatting options.
  3. Run the tool and inspect the result rather than relying on the count alone.
  4. Copy or download the output, then compare it with the applicable policy.

What this tool does

The tool reviews harassment, threats, privacy requests, spam, hate, sexual, and violence indicators. Its output separates observable text signals from the human judgment needed to interpret them.

Processing happens locally with transparent phrase groups or formatting rules. Matches are counted independently and listed in reading order where applicable.

A match can be harmless in reporting, education, fiction, counterspeech, or a direct quotation. A missing match does not establish safety.

Example

Input: You are an idiot. Send me your home address and I will make you regret this.

Result: The tool returns a categorized report or publishing-ready draft based on the selected options.

Use cases

  • Pre-publication review for community posts and comments
  • Moderator triage before contextual investigation
  • Safety checks for support and marketplace messages
  • Consistent warning, appeal, or annotation drafts

Tips for better output

  • Include enough surrounding text to preserve meaning.
  • Check quotations and reclaimed language manually.
  • Use the destination platform’s current written rules.
  • Do not treat counts as severity scores.
  • Keep a human review step for consequential decisions.

Processing details

The page runs in the browser, normalizes neither meaning nor identity, and preserves the original text in the input area. Exported data reflects only the current run.

Pattern matching cannot reliably infer intent, truth, speaker identity, protected context, or real-world danger. Escalate credible safety concerns through appropriate trained channels.

Frequently asked questions

Does this community rule violation mapper make a final moderation decision?

No. It identifies wording that may deserve human review; context, intent, quotation, and platform policy still matter.

Is text sent to a server when I use this tool?

No. The supplied page processes the text locally in your browser and does not require an account or API key.

Can the scanner understand satire, news reporting, or quoted speech?

It can report phrase matches, but it cannot reliably determine intent. Review quoted, educational, fictional, and journalistic uses manually.

What should I do when the tool reports no matches?

Treat that result as a limited pattern check, not proof that the content is safe or compliant. Apply the relevant community rules separately.

Can I use the output in an automated enforcement workflow?

Use it as a review aid only. Automated enforcement should include validated policy logic, appeals, audit records, and qualified human oversight.

Result guide

ResultHow to use it
Match or topicLocate text that deserves contextual review.
CategoryCompare the signal with the relevant written rule.
ExportSave a review aid, not a final enforcement verdict.