Problem
A historical medical documentary contains outdated treatment practices that are mistaken for current recommendations.
Solution
Root Cause / Diagnostic:
Historical retrospectives covering obsolete medical treatments (e.g., bloodletting, lobotomies, vintage patent medicines) trigger medical misinformation classifiers that compare spoken claims against contemporary medical standards. If temporal markers ("In the 18th century...") are separated from description of the treatments, algorithms flag them as dangerous contemporary health advice.
Actionable Fix:
1. Submit an appeal explicitly highlighting the historical documentary nature of the video under EDSA criteria, noting the historical time period covered.
2. Ensure on-screen lower-thirds display the historical era (e.g., "19th Century Medical Practice") continuously during discussions of obsolete treatments.
3. Update the video description with a clear historical framing statement and citations to historical archives or medical history texts.
Pro Tip:
Pair every historical treatment discussion with explicit past-tense framing in the audio narration ("Historians note that 18th-century practitioners mistakenly believed...") to provide clear context for automated NLP classifiers.
Historical retrospectives covering obsolete medical treatments (e.g., bloodletting, lobotomies, vintage patent medicines) trigger medical misinformation classifiers that compare spoken claims against contemporary medical standards. If temporal markers ("In the 18th century...") are separated from description of the treatments, algorithms flag them as dangerous contemporary health advice.
Actionable Fix:
1. Submit an appeal explicitly highlighting the historical documentary nature of the video under EDSA criteria, noting the historical time period covered.
2. Ensure on-screen lower-thirds display the historical era (e.g., "19th Century Medical Practice") continuously during discussions of obsolete treatments.
3. Update the video description with a clear historical framing statement and citations to historical archives or medical history texts.
Pro Tip:
Pair every historical treatment discussion with explicit past-tense framing in the audio narration ("Historians note that 18th-century practitioners mistakenly believed...") to provide clear context for automated NLP classifiers.