Automated ingestion pipelines utilize computer vision algorithms to detect potential vandalism patterns in uploaded media, flagging high-confidence incidents for review.

Subject matter experts and community moderators cross-reference flagged data with local police reports and news outlets to validate authenticity and context.

Verified incidents are cryptographically signed and stored in an immutable ledger, ensuring long-term data integrity and open access for researchers.