A framework for visualizing and describing city image promotion short video data based on microcube model

Abstract

Background The rapid development of media technology and media environment provides rich resources and convenient ways to shape the image of the city. Short video has become an important help to shape the image of the city and build the city brand. How to use short video to shape the image of the city is the key link of urban construction. This study focuses on six primary variables for analyzing city image short videos: unexpected events, emotional resonance, scene transition, elemental amplification, element interaction, and screen style. These variables were selected based on their demonstrated impact on short video engagement and dissemination efficiency. How In order to realize comprehensive analysis of short video content, This study collected 20,668 video screenshots from the Douyin platform as data samples. Data collection spanned July 2019 to December 2019, and analysis was conducted using the Python programming language with the Pandas and Matplotlib libraries for data processing and visualization. Objective To reveal the relationship between video content features and popularity by quantitative and visual methods, and to provide reference for optimizing urban brand promotion strategies. Conclusion (1) The microcube model shows strong flexibility and applicability in short video content analysis, and can help reveal the complex relationship between short video content characteristics and communication effect. (2) Unexpected events and emotional resonance are key factors in the attractiveness and communication effect of short videos. Reasonable design of scene switching and element interaction significantly enhances the visual impact of short videos.