A Computational Model of Message Sensation Value in Short Video Multimodal Features that Predicts Sensory and Behavioral Engagement
arXiv cs.CV / 4/23/2026
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Key Points
- The study introduces a computational model based on Message Sensation Value (MSV) to analyze how combined multimodal features in sensational short videos influence viewer engagement.
- Using human evaluations of 1,200 short videos, the model predicts sensory and behavioral engagement more effectively than treating individual features in isolation.
- The approach was validated on two additional unseen datasets spanning three platforms, totaling 14,492 videos, demonstrating robustness across different sources.
- Results show a positive link between MSV and sensory engagement, but an inverted U-shaped pattern for behavioral engagement, where moderate MSV best drives viewers’ behavior.
- The work contributes both to theory on short-video engagement and to practical research tooling for analyzing multimodal content effects at scale.
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