Tag: trust and safety

Learn what third party verification is, how it builds trust, and how to implement it. Our guide covers standards, risks, and new tools for digital media.

Understand how face recognition on video works, its limits, and biases. Learn best practices for journalists & moderators to verify video responsibly.

What is automated verification? This guide explains the core technologies, from AI image detectors to biometrics, and covers real-world use cases.

Learn the key performance metrics for AI image detectors, from precision and recall to fairness and calibration. A guide for journalists, legal, and T&S teams.

A practical guide to ecommerce fraud prevention. Learn to build a robust strategy that balances security, customer experience, and costs for 2026.

Explore our 2026 guide to find the right content moderation tool. Learn about types, features, policies, and best practices for protecting your platform.

Build effective content moderation guidelines. Learn policy, workflows, & AI media handling for a safer online experience.

Learn professional fake profile detection techniques. This guide covers image forensics, AI detection, behavioral analysis, OSINT, and tools for 2026.

Learn how a bad word detector works, from rule-based filters to ML models. This guide covers use cases, evaluation metrics, and ethical implementation.

What is an AI code humanizer? Learn how these tools work, the ethical risks they pose, and how to detect humanized code to ensure authenticity and integrity.

Learn how to detect fake IDs with our expert guide for moderators and trust & safety teams. Covers physical checks, digital forensics, and AI image detection.

Master designing, building, and maintaining an effective word filter list. Learn to handle obfuscation, regex, false positives, and AI for robust moderation.

Discover how a content moderation service works. This guide explores AI, human, and hybrid models to ensure platform safety and build user trust.