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Article . 2025 . Peer-reviewed
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A Study on Generative Artificial Intelligence to Enable Urban Red Literature Inheritance

Authors: null Xiulan Han;

A Study on Generative Artificial Intelligence to Enable Urban Red Literature Inheritance

Abstract

In the current era of rapid development of informationization, the problem of urban cultural inheritance is becoming more and more prominent, especially the protection and development of red cultural lineage has attracted much attention. This study focuses on the inheritance needs of urban red cultural heritage, and explores the application mode and strategy of generative artificial intelligence technology in it. In this paper, we first systematically sort out the urban red cultural heritage, describe the key technology of generative artificial intelligence, and establish a research framework that integrates the two, aiming to realize an innovative way for the protection of urban cultural heritage. Based on rich experimental materials and combined with practical cases, this paper constructs a corresponding generative model to design an effective red cultural heritage inheritance program. Through the analysis of experimental data, this study demonstrates the potential of generative AI in the digital display, educational dissemination, and cultural experience of the red vein, highlighting its significant contribution to improving the efficiency of cultural inheritance. Summarizing the experimental results, the paper discusses the application prospects of the technology, points out the limitations of the study, and provides references and insights for future phase-related work.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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