Problem
A creator cannot determine whether automated moderation uses audio, video, OCR, captions, metadata, or external-link analysis in the disputed case.
Solution
Root Cause / Diagnostic:
Modern platform moderation stacks utilize multi-modal AI models that concurrently evaluate audio transcripts, visual frames, on-screen text (OCR), metadata, and hyperlinks, without specifying which modality triggered the violation.
Actionable Fix:
1. Cross-Reference Modality with Policy Type: Map the infraction type to standard modalities (e.g., Harassment is usually audio/captions; Dangerous Content is visual/audio; Scams are links/metadata).
2. Audit Each Modality Independently: Check video frames for on-screen text, inspect the .srt caption file for sensitive words, and verify all description URLs.
3. Address Multi-Modal Compliance in Appeal: Explicitly state compliance across modalities: "Video contains no graphic imagery, audio is educational analysis, and description links are verified."
Pro Tip:
If a video is struck within 5 minutes of upload during processing, the trigger was almost certainly metadata, auto-captions, or a flagged external domain, not complex visual understanding.
Modern platform moderation stacks utilize multi-modal AI models that concurrently evaluate audio transcripts, visual frames, on-screen text (OCR), metadata, and hyperlinks, without specifying which modality triggered the violation.
Actionable Fix:
1. Cross-Reference Modality with Policy Type: Map the infraction type to standard modalities (e.g., Harassment is usually audio/captions; Dangerous Content is visual/audio; Scams are links/metadata).
2. Audit Each Modality Independently: Check video frames for on-screen text, inspect the .srt caption file for sensitive words, and verify all description URLs.
3. Address Multi-Modal Compliance in Appeal: Explicitly state compliance across modalities: "Video contains no graphic imagery, audio is educational analysis, and description links are verified."
Pro Tip:
If a video is struck within 5 minutes of upload during processing, the trigger was almost certainly metadata, auto-captions, or a flagged external domain, not complex visual understanding.