Data-driven Study on the Evolution of Cultural Communication Paths in Chinese Language and Literature

Abstract

In recent years, short videos have jumped to become one of the highly influential communication media. It not only provides a brand-new vision idea for cultural communication, but also gives the possibility of wide dissemination of Chinese language and literature culture. This paper analyzes the types of short video communication modes and communication power mechanism, and draws the technical route of short video production and processing. The communication advantages of Chinese language and literature culture in short videos are divided into three parts: platform advantages, content advantages and technical advantages. Combined with the video recommendation algorithm, a multimodal graph convolutional network algorithm for short video recommendation is proposed. Select experimental datasets, performance indicators, and comparison algorithms for recommendation performance evaluation of multimodal graph convolutional neural network algorithm. Survey questions containing cognitive, value, and behavioral dimensions are designed to capture users' attitudes and perceptions of Chinese language, literature, and cultural communication in short video platforms. Chinese language and literature cultural communication for short video users can deepen users' language and literature cognition. Among them, “I realize the responsibility of inheriting and promoting the culture of Chinese language and literature” has a mean score of 3.98. And "I have learned a lot of cultural knowledge" and "I have revisited Chinese and Chinese Chinese literature" have been highly recognized.