Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
Researchers introduce CASTER, a new framework for evaluating user-generated content (UGC) based on community resonance rather than traditional visual quality metrics. The accompanying MEDEA architecture uses a novel Social Chain-of-Thought mechanism that simulates diverse viewer perspectives to predict how content will resonate socially, trained through supervised learning and reinforcement learning aligned with authentic human feedback.