Content Quality Index (CQI) is a point-of-consumption system for evaluating the quality of YouTube videos. It uses a hybrid model combining AI analysis, public participation, and verified subject-matter experts to surface transparent content quality signals directly where videos are watched.
CQI does not determine truth, censor content, or enforce platform rules. Instead, it provides structured context about sourcing, disclosure, framing, and presentation so viewers can make informed judgments for themselves.

Online video platforms rely on engagement metrics, views, likes, shares, and comments, to rank and recommend content. These signals measure popularity, not quality, transparency, or informational rigor.
As a result, misleading or low-quality content can spread easily, while viewers lack tools to evaluate credibility at the moment they consume information.
Content Quality Index addresses this gap by providing non-adjudicative quality signals at the point of consumption, without removing content or labeling it as true or false.

Content Quality Index is designed for viewers, creators, researchers, journalists, and institutions that want greater transparency around online video without restricting speech or controlling outcomes. CQI provides structured context that helps audiences better understand how content is presented, sourced, and framed without labeling it as true or false or enforcing platform rules.
By separating content quality signals from engagement metrics and moderation systems, CQI enables clearer interpretation of information while preserving open access, creator independence, and viewer choice. This approach supports healthier information ecosystems by encouraging accountability and critical evaluation rather than authority-driven judgment.

“CQI is a content quality signaling system, not a fact-checking or moderation platform.”