OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction

ArXi:2604.26252v1 Announce Type: new Predicting social media popularity requires understanding both the intrinsic appeal of content and the external context that determines how it is exposed to users. Existing methods focus on content signals but do not separate them from exposure-related patterns, which causes the learned representations to absorb platform-specific visibility effects and weakens both interpretability and cross-platform transfer. This paper