The digitization of Textile Intangible Cultural Heritage (ICH) is critical for its preservation and modernization. However, the mechanism by which digital storytelling enhances the communication effectiveness of traditional textile techniques on short video platforms remains underexplored. This study establishes a theoretical model based on the Stimulus-Organism-Response (S-O-R) framework to evaluate the impact of narrative structure, visual technology, and interactivity on user engagement and cultural identity. We utilized Python web crawlers to collect data from 1,240 textile-related videos on Douyin (TikTok China version) and conducted a questionnaire survey (N=458). Structural Equation Modeling (SEM) was employed to test the hypotheses. The results indicate that “Process-Deconstruction” narratives (focusing on technical parameters like weaving density and dyeing temperature) have a significantly higher positive impact on Perceived Usefulness (β=0.42, p < 0.001) compared to “Historical-Background” narratives. Furthermore, visual immersion mediated by macro-lens cinematography significantly influences the Intention to Disseminate. This research provides a data-driven strategy for optimizing algorithmic recommendations and content creation for textile heritage, bridging the gap between information engineering and textile preservation.

textile intangible cultural heritage, digital storytelling, short video algorithms, communication effectiveness, structural equation modeling