An edition of The Dissemination and Evolution of Excellent Traditional Chinese Culture (ETCC) in the Age of Artificial Intelligence (AI)
(2026)
The Dissemination and Evolution of Excellent Traditional Chinese Culture (ETCC) in the Age of Artificial Intelligence (AI)
by You Chen
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March 22, 2026 | History
In the rapidly developing era of globalization and digitalization, artificial intelligence (AI), as a disruptive technology, has brought profound changes to various industries, and its impact on the dissemination and evolution of excellent traditional Chinese culture (ETCC) is no less significant. This book The Dissemination and Evolution of Excellent Traditional Chinese Culture (ETCC) in the Age of Artificial Intelligence (AI) aims to explore how AI technology, in conjunction with ETCC, fosters cultural inheritance and innovation, and to offer valuable insights and exploration for future developments.
This book is divided into eight chapters, covering the theoretical background of the integration of AI with ETCC, new paths for cultural dissemination in the AI era, specific applications of AI in cultural communication, the evolution of cultural forms, global dissemination and reception of ETCC, future trends, and finally, case analysis and empirical research. Each chapter builds upon the previous one, thoroughly analyzing the role of AI in the global spread of ETCC and discussing the opportunities and challenges it presents.
The inheritance and development of ETCC are inseparable from technological innovation and a sense of responsibility to preserve and promote cultural heritage. With AI’s assistance, ETCC can thrive in the globalized era, reaching new audiences and engaging in meaningful cultural exchange worldwide. This book aims at contributing to this noble endeavor by offering both theoretical support and practical guidance.
Finally, as the author of this book, I, first of all, would like to express my sincere appreciation to all the scholars, experts, and colleagues who contributed to this book. The great support and dedication from them made this work possible. Meanwhile, I am very grateful for the funding from the Doctoral Research Startup Project of Guangdong University of Science and Technology in 2025 (Project Name: Research on the Education of Excellent Traditional Chinese Culture for University Students in Dongguan from the Perspective of Ideological and Political Education. Grant Number: GKY-2025BSQDW-56). What is more, I also desire to extend my heartfelt thanks to all readers who care about and support the inheritance of Chinese culture. I hope this book will inspire thoughtful reflection and be conducive to the continuous development of ETCC in the age of AI.
Publish Date
2026
Publisher
Scientific Open Access Publishing
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The Dissemination and Evolution of Excellent Traditional Chinese Culture (ETCC) in the Age of Artificial Intelligence (AI)
2026, Scientific Open Access Publishing
1918263051 9781918263053
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Book Details
Table of Contents
Preface. I
AI Images Related to ETCC and AI Era. III
List of Abbreviation. VII
Contents. IX
Introduction. 1
Research Background. 1
Problem Statement. 2
Research Purpose and Objectives. 2
Research Methodology. 3
Research Significance. 4
Overall Framework of the Book. 4
Chapter 1. The Convergence of AI and ETCC
Overview. 7
1.1. The Concept and Historical Development of AI
1.1.1. Defining AI: From Computational Logic to Cultural Technology
1.1.2. The Historical Stages of AI Development
1.1.3. AI as a Transformative Force in Human Civilization
1.2. The Connotations and Core Values of ETCC
1.2.1. The Concept of ETCC
1.2.2. Philosophical Foundations: Confucianism, Daoism, and Buddhism
1.2.3. Ethical Values and Social Ideals
1.2.4. Cultural Expression and Symbolic Systems
1.2.5. Contemporary Significance of ETCC
1.3. The Impact of the AI Era on Cultural Communication
1.3.1. From Human-Centered Communication to Algorithmic Mediation
1.3.2. The Transformation of Cultural Content: From Texts to Symbols
1.3.3. Changes in Cultural Subjects: The Reconfiguration of Producers and Audiences
1.3.4. AI and the Temporal-Spatial Expansion of Cultural Communication
1.3.5. Ethical and Value-Oriented Challenges in AI-Mediated Cultural Communication
1.3.6. Toward a Culturally Informed Framework of AI-Driven Communication
1.4. Chinese Culture in the Context of Globalization: Challenges and Opportunities
1.4.1. Globalization and the Asymmetry of Cultural Power
1.4.2. Cultural Homogenization and the Risk of Symbolic Dilution
1.4.3. AI and the Reconstruction of Cultural Discourse Power
1.4.4. Global Audiences and Cross-Cultural Interpretation
1.4.5. From Cultural “Going Out” to Cultural Co-Creation
1.4.6. Toward a Strategic Vision of Cultural Development in the AI Era
Summary. 36
Chapter 2. New Pathways for Cultural Dissemination in the Age of AI
Overview. 37
2.1.1. Structural Changes in the Communication Environment
2.1.2. Generational Gaps and Cultural Distance
2.1.3. Fragmentation and Simplification of Cultural Meaning
2.1.4. Institutional Constraints and Communication Inertia
2.1.5. The Need for Transformative Communication Pathways
2.2. Digital Technologies and Cultural Inheritance
2.2.1. From Material Preservation to Digital Archiving
2.2.2. Digital Platforms and the Reorganization of Cultural Memory
2.2.3. Digitalization as Cultural Activation Rather Than Mere Preservation
2.2.4. Limitations and Risks of Digital Cultural Inheritance
2.2.5. Digital Technology as the Foundation for Intelligent Cultural Communication
2.3. AI-Driven Cultural Innovation and Interpretation
2.3.1. AI as a New Cultural Actor
2.3.2. Generative AI and the Reinterpretation of Traditional Culture
2.3.3. Innovation Through Cultural Recombination and Hybridization
2.3.4. AI and the Transformation of Cultural Interpretation
2.3.5. Ethical Boundaries and Value Orientation in AI-Driven Innovation
2.3.6. Toward a Sustainable Model of AI-Enabled Cultural Creativity
2.4. The Role of the Internet and Social Media
2.4.1. From Mass Communication to Platform-Based Cultural Circulation
2.4.2. Algorithmic Logic and the Visibility of Traditional Culture
2.4.3. Social Media, Participation, and Cultural Co-Creation
2.4.4. Youth Culture and the Digital Reconnection with Tradition
2.4.5. Global Connectivity and Cross-Cultural Communication
2.4.6. Toward an Integrated Internet-Based Cultural Communication Strategy
Summary. 85
Chapter 3. Applications of AI in the Dissemination of ETCC
Overview. 87
3.1. Virtual Assistants and Cultural Communication
3.1.1. Virtual Assistants as Dialogical Cultural Interfaces
3.1.2. Knowledge Representation and Cultural Understanding
3.1.3. Personalization and Adaptive Cultural Communication
3.1.4. Ethical Guidance and Value Orientation
3.2. Intelligent Recommendation Algorithms and Cultural Content Delivery
3.2.1. Recommendation Systems as Cultural Gatekeepers
3.2.2. Personalization and the Expansion of Cultural Reach
3.2.3. Algorithmic Bias and Cultural Representation
3.2.4. Toward Responsible Algorithmic Cultural Communication
3.3. Digital Museums and VR Technologies
3.3.1. The Evolution from Physical Museums to Intelligent Digital Museums
3.3.2. VR and the Reconstruction of Cultural Space
3.3.3. Immersive Experience and Cultural Memory Formation
3.3.4. AI-Driven Curation and Narrative Intelligence
3.3.5. Accessibility, Inclusivity, and Global Cultural Communication
3.3.6. Challenges and Ethical Considerations
3.3.7. Toward Intelligent and Sustainable Digital Cultural Heritage
3.4. Online Education and Cultural Inheritance
3.4.1. From Institutional Teaching to Intelligent Learning Systems
3.4.2. Personalization and Depth in Cultural Learning
3.4.3. Interactive Learning and Cultural Engagement
3.4.4. Educational Equity and Cultural Accessibility
3.4.5. Challenges of Standardization and Cultural Depth
3.4.6. Toward a Sustainable Model of AI-Supported Cultural Education
Summary. 176
Chapter 4. The Evolution of Traditional Chinese Cultural Forms under AI
Overview. 177
4.1.1. Cultural Symbols as the Core of Traditional Chinese Culture
4.1.2. AI as a Symbol-Processing System
4.1.3. Reconfiguration of Symbolic Meaning through Algorithmic Mediation
4.1.4. Generative AI and the Creation of New Symbolic Forms
4.1.5. Human–Machine Collaboration in Symbolic Interpretation
4.1.6. Toward a Value-Oriented Framework for Symbolic Evolution
4.2. Digital Reconstruction of Traditional Art Forms
4.2.1. From Manual Craft to Algorithmic Assistance in Artistic Creation
4.2.2. Calligraphy and Painting in the Age of Intelligent Imaging
4.2.3. Music, Opera, and the Digital Reconfiguration of Performance
4.2.4. Aesthetic Transformation and the Emergence of Hybrid Art Forms
4.2.5. Authenticity, Creativity, and Cultural Authority
4.2.6. Toward a Culturally Grounded Model of Digital Artistic Reconstruction
4.3. Innovative Integration of AI and Traditional Chinese Literature
4.3.1. AI and the Transformation of Literary Creation
4.3.2. Reinterpreting Classical Texts through Intelligent Analysis
4.3.3. Narrative Reconstruction and Interactive Storytelling
4.3.4. Literary Authority, Authorship, and Cultural Legitimacy
4.3.5. Ethical Considerations and Value Orientation
4.3.6. Toward a Dynamic Model of Literary Evolution
4.4. Intelligent Management of Traditional Festivals and Cultural Activities
4.4.1. From Ritual Organization to Data-Driven Cultural Management
4.4.2. Enhancing Participation and Cultural Experience through Intelligent Systems
4.4.3. Digital Platforms and the Extension of Festival Culture
4.4.4. Cultural Governance, Public Services, and Ethical Responsibility
4.4.5. Tradition, Innovation, and the Social Evolution of Cultural Practice
4.4.6. Toward a Human-Centered Model of Intelligent Cultural Practice
Summary. 256
Chapter 5. Global Communication and Reception of ETCC in the Age of AI
Overview. 257
5.1.1. AI as an Enabler of Cross-Cultural Communication
5.1.2. Intelligent Platforms and the Restructuring of Cultural Exchange Channels
5.1.3. Data-Driven Cultural Adaptation and Localization
5.1.4. AI and the Transformation of Cultural Diplomacy
5.1.5. Power, Ethics, and Cultural Representation in AI-Mediated Exchange
5.1.6. Toward a Dialogical Model of AI-Enabled International Cultural Exchange
5.2. A Multidimensional Analysis of Cultural Output
5.2.1. From Unidirectional Export to Multidimensional Communication
5.2.2. Content Dimension: From Symbolic Presentation to Meaningful Narratives
5.2.3. Technological Dimension: Platforms, Algorithms, and Infrastructure
5.2.4. Audience Dimension: Data-Driven Understanding and Cultural Resonance
5.2.5. Institutional Dimension: Coordination among Cultural Actors
5.2.6. Evaluative Dimension: Measuring Cultural Impact beyond Visibility
5.3. Cross-Cultural Adaptation and Cultural Soft Power
5.3.1. From Cultural Translation to Cultural Adaptation
5.3.2. Personalization and Emotional Resonance in Cross-Cultural Contexts
5.3.3. AI and the Reshaping of Cultural Soft Power
5.3.4. Negotiating Cultural Difference and Avoiding Cultural Reductionism
5.3.5. Dialogue, Reciprocity, and Mutual Cultural Learning
5.3.6. Toward a Value-Oriented Strategy for AI-Enabled Cultural Soft Power
5.4. Global Audiences’ Perceptions and Acceptance of Chinese Culture
5.4.1. Audience Cognition in the AI-Mediated Information Environment
5.4.2. Interpretive Frames and Cultural Meaning Construction
5.4.3. Emotional Response and Affective Acceptance
5.4.4. Diversity of Global Audiences and Differential Reception
5.4.5. Trust, Credibility, and Long-Term Cultural Acceptance
5.4.6. Toward an Audience-Centered Model of Global Cultural Engagement
Summary. 342
Chapter 6. Future Development Trends of ETCC in AI Era
Overview. 343
6.1. Development Directions of AI and Cultural Adaptation
6.1.1. From Tool-Oriented AI to Infrastructural Intelligence
6.1.2. Generative Intelligence and the Expansion of Cultural Possibility
6.1.3. Increasing Autonomy and the Question of Cultural Agency
6.1.4. Cultural Adaptation as a Value-Oriented Process
6.1.5. Toward a Culturally Reflexive AI Development Path
6.2. The Modern Transformation of Chinese Culture
6.2.1. Tradition and Modernity as a Dynamic Relationship
6.2.2. Institutional Embedding of Traditional Culture in the AI Era
6.2.3. Cultural Subjectivity and Technological Mediation
6.2.4. Modern Expression of Traditional Values
6.2.5. Toward a Human-Centered Model of Cultural Modernization
6.3. Prospects for the Integration of AI and ETCC
6.3.1. From Functional Application to Structural Integration
6.3.2. Human–Machine Collaboration as the Core Integration Model
6.3.3. The Emergence of an Intelligent Cultural Ecology
6.3.4. Innovation, Authenticity, and the Risk of Cultural Dilution
6.3.5. Institutional Frameworks for Sustainable Integration
6.3.6. Ethical Governance and Cultural Responsibility
6.3.7. Toward a Value-Guided Vision of Cultural–Technological Integration
6.4. The Role and Challenges of AI in Cultural Preservation
6.4.1. AI as an Infrastructure for Cultural Preservation
6.4.2. From Material Preservation to Meaning Preservation
6.4.3. Protecting Cultural Diversity and Avoiding Algorithmic Homogenization
6.4.4. Data Ethics, Cultural Ownership and Security
6.4.5. Balancing Technological Efficiency and Cultural Responsibility
6.4.6. AI and the Sustainability of Cultural Preservation
6.4.7. Toward an Ethically Grounded Model of Intelligent Cultural Preservation
Summary. 399
Chapter 7. Case Analysis and Empirical Research
Overview. 401
7.1. Analysis of Dissemination Effectiveness of ETCC on Digital Platforms
7.1.1. Digital Platforms as Empirical Sites of Cultural Communication
7.1.2. Dimensions of Dissemination Effectiveness
7.1.3. Algorithmic Recommendation and Cultural Visibility
7.1.4. User Engagement and Participatory Patterns
7.1.5. Interpretive Depth and Meaning Construction
7.1.6. Sustainability of Cultural Dissemination
7.1.7. Structural Insights from Platform-Based Dissemination
7.1.8. Implications for Subsequent Empirical Research
7.2. A Study on the Impact of Intelligent Applications on Cultural Identity
7.2.1. Research Design and Participants
7.2.2. Measurement Instruments
7.2.3. Data Analysis Procedures
7.2.4. Empirical Results
7.2.5. Individual Differences and Contextual Effects
7.2.6. Discussion
7.2.7. Implications for Subsequent Empirical Analysis
7.3. Empirical Survey: Audience and User Feedback on AI-Driven Cultural Content
7.3.1. Research Objectives and Design Framework
7.3.2. Sample Selection and Data Collection
7.3.3. Measurement Variables and Questionnaire Structure
7.3.4. Key Findings: User Perception and Engagement
7.3.5. Cultural Identity and Value Recognition
7.3.6. User Concerns and Critical Reflections
7.3.7. Implications of the Empirical Findings
7.3.8. Limitations and Directions for Further Research
Chapter 8. Conclusion and Prospects
Overview. 441
8.1. Research Summary
8.1.1. Integration of Theoretical Foundations
8.1.2. New Pathways of Cultural Communication in the AI Era
8.1.3. Transformation of Cultural Forms and Practices
8.1.4. Global Communication and Cross-Cultural Reception
8.1.5. Future Trends and Cultural Governance
8.1.6. Empirical Validation through Case Analysis and Survey Research
8.1.7. Overall Contributions of the Study
8.2. Future Strategies for the Inheritance of ETCC
8.2.1. A Value-Oriented National Strategy for Cultural Inheritance
8.2.2. Institutional Coordination and Multi-Actor Collaboration
8.2.3. Educational Transformation and Intergenerational Transmission
8.2.4. Community Participation and Cultural Practice
8.2.5. Technological Design Principles for Cultural Inheritance
8.2.6. Balancing Innovation and Continuity
8.2.7. Toward a Sustainable Cultural Inheritance Ecosystem
8.3. Future Prospects for the Integration of AI and Culture
8.3.1. AI and the Transformation of Cultural Civilization
8.3.2. Cultural Subjectivity in the Age of Intelligent Systems
8.3.3. Ethical Governance and the Moral Limits of Intelligence
8.3.4. Co-Evolution of Technology and Cultural Values
8.3.5. Global Civilization and Cultural Dialogue in the AI Era
8.3.6. Toward a Human-Centered Intelligent Civilization
Summary. 453
References. 455
Appendix A. 473
Appendix B. 475
Post-Scripts. 479
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