# YouTube Alignment: Recommendation Title Embeddings
Dataset accompanying the paper **"Evaluating feedback mechanisms for aligning YouTube recommendations with user interests"** (Cho, Hale, Zhao, Shadbolt & Przybylski; University of Oxford).
## Dataset Summary
This dataset contains YouTube homepage recommendation titles and their semantic embeddings, collected from 12 simulated adolescent puzzle-gamer accounts across four experimental personas. It supports a controlled output-based audit of how YouTube's explicit feedback controls ('like' and 'not-interested') shift recommendation content relative to implicit engagement alone.
## Experimental Design
A 2×2 between-subjects design crossed two explicit feedback conditions:
| Persona | Like watched videos | Not-interested on non-puzzle gaming |
|---|---|---|
| **Watch** (cont…
