A second project tackles algorithmic recommendation systems. Rola maps a local community bulletin board—an analog network historically used for announcements, lost-and-found notices, and informal economy exchanges—into a digital prototype. Rather than training a black-box recommender to maximize engagement, she constrains her system with ethical heuristics: preserving diversity of voices, surfacing time-sensitive community needs, and minimizing amplification of sensational content. The interface exposes why items are recommended: simple provenance badges and short rationale strings accompany each suggestion. By making the system’s logic visible, Rola invites users to contest and co-design the recommendation space, embodying ABS223’s commitment to participatory technologies.