Deciphering the Visual Style of China’s Hit Short Videos Through Computer Vision
摘要
The rise of short video platforms underscores the pivotal role of visual style in communication. This study aimed to addresses three key challenges: (1) the absence of standardized quantitative frameworks for visual style, (2) limitations in single-platform studies, and (3) imprecise metrics for body language analysis. Integrating film theory with computer vision, we establish a quantitative framework analyzing three dimensions: filming style, body language, and emotional expression. We apply this framework to analyze the impact of visual style on communication effectiveness across 783 popular short videos from China’s three largest platforms—Douyin, Kuaishou, and Bilibili. Results show that jittery frames (CP = 0.1424) and surprise elements (CP = 1.0067) enhance popularity on Bilibili, quick editing (CP = 0.7060) is essential for Douyin, and close-ups (CP = 0.2549) significantly impact Kuaishou. However, physical activity in short videos has little effect on popularity on these platforms (|r| ≤ 0.135). This study extends film theory to digital media and offers content creation and communication strategies for Chinese propagandists and short video creators.