Editing AI for Social Media and Content Moderation (section)

== <span style="color: #FFFFFF;">Creating</span> ==
Designing a content moderation pipeline: (1) **Risk tier**: classify content types by severity: CSAM/terrorism (immediate removal) → hate speech/harassment (review queue) → spam (deprioritize). (2) **Hash matching**: PhotoDNA-style perceptual hashing for known illegal content — mandatory for CSAM. (3) **ML classifiers**: fine-tuned multilingual models (XLM-RoBERTa) for hate speech, multilingual content. (4) **Confidence routing**: high-confidence violations → auto-action; borderline → human review queue; low-risk → allow. (5) **Human review**: ergonomic review tools, mandatory psychological support, content shields (blurring graphic material). (6) **Appeals**: clear, timely appeals process with human review. (7) **Transparency**: quarterly transparency report disclosing removal volumes, error rates, and appeals outcomes.

[[Category:Artificial Intelligence]]
[[Category:Social Media]]
[[Category:Content Moderation]]
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