Content Quality Index (CQI)

Channel CQI brings clarity and accountability to YouTube. Our extension analyzes each channel and video to reveal trustworthiness, transparency, quality, and safety using a combination of AI scoring and human-verified reviewers. What Channel CQI helps you do: ✔ See overall Channel CQI and Video CQI scores instantly ✔ Understand trust, transparency, and content-quality metrics ✔ View credibility indicators while watching YouTube ✔ Submit your own ratings to help build a community-driven trust index ✔ Access deeper breakdowns on our website, including category analysis, reviewer insights, and percentile rankings How it works: Channel CQI uses a hybrid scoring approach. AI provides fast transcript evaluation, keyword detection, and misinformation risk signals, while trained human specialists provide expert review in 21 categories such as News, Finance, Education, Science, Technology, Criminal Justice, and more. This combination ensures an accurate and fair trust score while eliminating the biases of single-source rating systems. Why it matters: YouTube has become the world’s most influential source of information. Channel CQI empowers viewers, brands, educators, and policymakers to make informed decisions about the channels they depend on. Key Features: Real-time CQI display within a simple popup Channel percentile ranking vs. category peers Video-level scoring Viewer ratings + verified reviewer ratings Works automatically on YouTube watch pages Privacy-friendly (no personal data collected) Built for transparency. Built for trust. Channel CQI is part of the broader Content Quality Bureau initiative — a nonprofit and technology ecosystem dedicated to improving digital information integrity. Content Quality Index (CQI) is a point of consumption content quality signaling system for YouTube videos. It is designed to help viewers understand how information is presented, sourced, and framed at the moment content is consumed. CQI operates directly on the YouTube video page and provides contextual quality signals without determining truth, restricting access, or enforcing platform rules. The CQI browser extension uses a hybrid human in the loop model that combines automated analysis, public participation, and verified expert review. Automated systems surface scalable quality indicators, while public and expert contributions add human judgment and accountability. This layered approach reduces reliance on any single perspective and helps make patterns of agreement, disagreement, and uncertainty visible. Content Quality Index focuses on transparency rather than authority. It does not function as a fact checking service, a moderation tool, or a popularity metric. Instead, it complements existing systems by separating content quality signals from engagement metrics such as views, likes, and comments, allowing viewers to interpret online video with greater context and clarity.