Social media and news platforms shape how billions connect, communicate, and consume information. Their influence extends beyond individual experiences, shaping societal narratives, deepening divisions, and eroding trust in institutions. Engagement-driven algorithms prioritize clicks and shares over accuracy and inclusivity, amplifying toxicity, echo chambers, and misinformation.

75% of YouTube views come from algorithmic recommendations. 90% of TikTok engagement is AI-driven. 70% of Twitter/X feeds come from accounts users don’t follow.

This dynamic fuels division, increases stress, and limits user control over content consumption.

PSCA is a conceptual experiment that explores how modifying engagement-based algorithms with customizable, pro-social AI could empower individuals to curate content aligned with their values while reducing exposure to harmful and polarizing material.

Key Features Personalized Feed Curation – Users shape their feeds around constructive, values-aligned content. LLM-Powered Content Filtering – Reduces exposure to hate speech, misinformation, and toxic narratives. Pro-Social Default Settings – Encourages balanced exposure to different perspectives while safeguarding mental well-being. Alternative Payment Models – Moves beyond engagement-based incentives that amplify outrage.

Digital platforms shape public opinion, social cohesion, and mental health. PSCA could offer a way to restore user agency, reduce polarization, and strengthen trust in institutions and civic engagement.

By putting control back in users' hands, PSCA envisions a healthier, more intentional digital experience—one that prioritizes well-being, trust, and constructive discourse over division and manipulation.