Authors - Melati Budi Srikandi, Jonathan Jacob Paul Latupeirissa, Yolanda Masnita, Rizki Dewantara, Ni Made Prasiwi Bestari, Ayu Made Bianca Juarez Abstract - The shift from human gatekeepers to AI-driven algorithmic curation has fundamentally changed the concept of "Agenda-Setting" theory in the digital age. This change is significant because AI now influences public issue salience; however, there is a notable gap in public awareness. This study examines AI's role in social media information curation and its effects on public discourse and agenda setting. To do this, the research employs a systematic literature review guided by PRISMA principles, analyzing data collected from the Scopus database to identify current research trends. Moving from “handheld” to “automatic” curation results in more personalized interfaces that foster “filter bubbles” and “echo chambers,” according to the analysis. It demonstrates that understandings of “algorithmic news bias” are more influenced by user partisanship and ideological cues than purely technical causes. In conclusion, this suggests that media theories need to be refined to include automated gatekeeping as a core component. Algorithmic literacy serves as a filter against distortions, aiming to reduce disinformation and digital conflict within society. To address the bottlenecks in communication processes, future research and policy should focus on improving algorithmic literacy, given its undeniable influence over human decision-making.