Thematic Clustering
Unsupervised machine learning algorithms group content into dominant themes, revealing worldview frameworks being constructed through repeated algorithmic exposure.
Analysis
Find the hidden curriculum. Our unsupervised machine learning groups content into dominant themes—revealing worldview frameworks constructed through repeated algorithmic exposure, even when individual videos seem unrelated.
With automatic clustering, we identify the meta-narratives being taught: productivity culture, political ideology, beauty standards, relationship models, success frameworks. There's no need to manually categorize thousands of videos. The patterns self-organize.
What this layer detects:
Dominant themes repeated across seemingly unrelated content
Value systems and belief frameworks being normalized
Cultural narratives and worldview assumptions reinforced
Content category imbalances (over-representation of specific themes)
This layer reveals the curriculum algorithms teach when parents aren't watching.
