Approaching Policy Discourse on the Chinese Cultural Industry from a Time-Series Perspective: Focusing on Text Mining and Network Analysis

Dan Zhang, Hee-Ju Kwon

Abstract

The Chinese cultural industry has evolved into a significant economic growth engine, creating a unique trend distinctive to China. This study analyzes the development and evolution of the Chinese cultural industry by assessing policy discourse from a time-series perspective. By employing text mining and network analysis on text data spanning 15 years from a Chinese online platform, this research uncovers the trajectory of the cultural industry’s development, which follows the phases of research, imitation, marketization, and industrialization. The novelty of this study lies in its comprehensive examination of policy discourse through advanced methodologies, revealing the convergence of disparate developmental forms into a coherent directionality over time. The core–periphery analysis further illustrates the formation of a synergistic Chinese-style developmental model that balances public engagement with the preservation and application of cultural archetypes while integrating various national growth strategies. This study provides new insights into the dynamic interplay between policy and practice in the Chinese cultural industry, offering a macroscopic perspective that contributes to the existing literature.

 

Keywords: Chinese cultural industry, time-series discourse analysis, text mining, network analysis, core-periphery structure analysis, Chinese-style developmental model.

 

DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.63.18


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