The anatomy of a double-tap: Dissecting the gap between algorithmic vector optimization and social literalism. 1. Executive Overview: Supporting the Preference Disruption Thesis This appendix directly supports the central thesis of this research project: liking diverse content successfully breaks open a narrow filter bubble and exposes the user to alternate views. While engagement-driven recommendation architectures tend to confine users within closed mathematical feedback