Core Viewpoint - The systematic transformation of mainstream media is a significant strategic deployment made by the 20th Central Committee of the Communist Party, aimed at adapting to the trends of media reform under information technology conditions and fulfilling the responsibilities assigned by the Party Central Committee [4][6]. Group 1: Systematic Transformation of Mainstream Media - The transformation is essential for enhancing the communication power, guiding capability, influence, and credibility of mainstream media in the information age [8]. - The goal is to solidify and expand mainstream values, public opinion, and culture, while better serving the governance of the Party and the country [8][18]. - The transformation will involve a deep integration of new technologies, such as artificial intelligence, into all aspects of news production and dissemination [9][10]. Group 2: Technological Empowerment - The application of new technologies is crucial for improving the quality of news supply and adapting to the trends of diversified and differentiated communication [12]. - Xinhua News Agency has developed over 220 digital tools and holds more than 90 technical patents to enhance news production efficiency and accuracy [10]. - The agency aims to integrate cutting-edge technologies like big data and AI into the entire news production process, establishing a new infrastructure for news dissemination [10][11]. Group 3: Research and Investigation - Investigative research is highlighted as the core competitive advantage of mainstream media, essential for producing high-quality news content [13][14]. - The agency emphasizes the importance of thorough investigation to ensure unique and impactful reporting, which cannot be replicated by AI [13][14]. - Xinhua has established dedicated research teams and training programs to enhance its investigative capabilities and adapt to the evolving media landscape [14]. Group 4: Mechanism and Process Innovation - The transformation requires a systematic re-engineering of processes rather than mere optimization of individual segments [15][16]. - Xinhua is focusing on creating a collaborative mechanism among various departments to enhance reporting efficiency and effectiveness [16][17]. - The agency has implemented a rapid response mechanism for major news events, achieving high rates of first reporting on significant stories [16][17]. Group 5: Commitment to Cultural Mission - Xinhua News Agency is committed to deepening its understanding of Xi Jinping's cultural thought and aligning its operations with the Party's directives [18]. - The agency aims to leverage its historical strengths and adapt to the new media environment to contribute to national rejuvenation and modernization efforts [18].

与科技创新共同进步，是媒体发展的鲜明特征。 从"数与网"到"云与智"，当前，主流媒体正通过技术重构生产流程、传播逻辑和行业生态。一年一度的 中国新媒体大会，让初冬的长沙"新意"涌动，身处智能化浪潮中的主流媒体聚集一堂，交流探讨如何主 动应变，构建内容与人工智能协同融合的新型主体媒体。 内容定力： 在算法浪潮中坚守价值坐标 面对智能浪潮的汹涌，主流媒体没有随波逐流，而是坚守初心。 "主流媒体当如'山'，奋力打造一座座由内容精品构筑的'文化山脉'和'时代峰峦'，切实履行举旗帜、聚 民心、育新人、兴文化、展形象的职责使命。" "在信息爆炸、众声喧哗的传播环境中，专业、正气与鲜明价值底色成为主流媒体不可替代的核心优 势。" "在主流媒体系统性变革的浪潮中，新闻人不能缺席。百姓立场在哪里，媒体人的现场就该在哪里。" 中国新媒体大会上，这些"不变"仍被媒体人反复提及。牢牢坚持正确价值观，依然是主流媒体应当守住 的"根"与"本"。但传播不是生硬的说教灌输，盲目追逐流量、抛弃内容，将沦为数字泡沫；固守旧有模 式、拒绝创新，也会被受众遗忘。如何让内容创作"破圈""入耳"，是媒体创作者关心的话题。 今年九三阅兵报道中，新华社出图 ...

Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on mainstream media, emphasizing the need for media to embrace technological advancements to enhance efficiency and innovation [1][2][6] Group 1: AI Integration in Media - The 2025 China New Media Conference showcased various AI-driven tools and products, such as AI editing departments and content creation tools, highlighting a significant shift towards integrating AI in media operations [2][3] - The "采编助手" (Editing Assistant) demonstrated at the conference integrates 227 functions, showcasing the efficiency transformation in news production [2] - Hunan Broadcasting and Television Group's "Mango Model" has achieved over 93% application coverage in its business, generating more than 180,000 videos through AI [2] Group 2: Evolution of Media Production - The media industry is transitioning from "AI for Media" to "Media by AI," indicating that AI is becoming a core engine for content innovation rather than just a tool for efficiency [3] - High-quality, reliable, and value-oriented media data is now considered a strategic foundation for the development of intelligent media [4] - The establishment of a mainstream value corpus exceeding 300TB by People’s Daily exemplifies the industry's focus on creating valuable data resources [4] Group 3: Systemic Transformation and Future Directions - The conference served as a platform for reflecting on past media integration achievements and strategizing for future developments, particularly in content innovation and international communication [6][7] - The importance of transforming grand narratives into relatable emotional experiences was emphasized as a way to enhance the influence of mainstream media [7] - The need for building trust in media amidst the rapid evolution of technology was highlighted, with a focus on the social responsibility of media in the digital age [8][10] Group 4: Cultural and Social Impact - Media is increasingly engaging in cultural industry development and social governance through innovative communication and interaction methods [3] - The integration of AI in media is seen as a way to enhance public engagement and trust, with examples of AI tools enabling users to verify information and access health services [3][6] - The conference also addressed the role of technology in enhancing the emotional connection between media and audiences, emphasizing the human element in storytelling [9][10]

Core Insights - The 2025 China New Media Conference focused on the theme "Intelligent Synergy, Systemic Transformation," highlighting the rapid development of artificial intelligence and its impact on media innovation and transformation [1] Group 1: Technological Advancements - The conference showcased various AI-driven products and tools, including AI editorial departments and content creation tools, emphasizing the efficiency transformation in news production [2] - The "Mango Large Model" developed by Hunan Broadcasting and Television Group has achieved over 93% application coverage in its business, generating more than 180,000 videos [2] - The shift from "AI for Media" to "Media by AI" signifies that AI is becoming the core engine for content innovation rather than just a tool for efficiency [3] Group 2: Content Innovation and Quality - High-quality, reliable, and value-oriented media resources are now considered key production factors for intelligent media development, with People's Daily creating a mainstream value corpus exceeding 300TB [4] - The integration of advanced technologies like 3D displays and immersive experiences is enhancing content dissemination and interaction in cultural and social governance [3] Group 3: Systemic Transformation in Media - The conference served as a reflection on past media integration achievements and a mobilization for future directions, emphasizing the importance of technology in media evolution [6] - Major themes discussed included the need for mainstream media to enhance their influence through impactful storytelling and emotional resonance [7] Group 4: Trust and Responsibility - The debate on whether the influence of media relies more on speed or trust concluded that trust is essential for enduring value in the information age [8] - The integration of technology with a human touch is crucial for building trust, as demonstrated by AI tools that assist in creative processes [9] Group 5: Future of Journalism - Young media professionals expressed confidence that human qualities such as empathy and courage will remain vital in the face of AI advancements [10] - The collaboration between digital and biological entities in news reporting is seen as a way to enhance the accuracy and speed of information dissemination [11]

Core Insights - The seminar on "Artificial Intelligence and Beijing's Cultural Communication" emphasizes AI as a key technology for enhancing Beijing's international image and cultural outreach [1][41] - The event gathered experts from academia, government, enterprises, and media to discuss the mechanisms and pathways for leveraging AI in cultural communication [1][41] Group 1: Seminar Overview - The seminar was organized by Beijing International Studies University and focused on exploring AI's role in cultural communication [1] - Keynote speeches were delivered by representatives from various institutions, including the Palace Museum and Peking University [2][21] Group 2: Key Presentations - The Palace Museum's Vice President highlighted the museum's digital transformation, achieving over 50% digitization of its collection and enhancing international cultural influence [5] - A researcher from Peking University discussed the capabilities of large models in content generation and the importance of aligning values in cultural communication [7][9] - The Deputy Director of the International Communication Department of the Beijing Municipal Committee emphasized the need for audience research and enhancing multilingual content production through AI [11] Group 3: AI Applications in Cultural Communication - The Director of the Xinhua News Agency's Strategic Research Office presented AI's potential in enhancing cultural communication through audience targeting and content generation [13] - The Deputy Director of the Chinese Artificial Intelligence Society discussed the innovative applications of AI in cultural outreach, including multilingual translation and content creation [17] - The Vice President of BlueFocus Group suggested leveraging AI for localized communication strategies for enterprises [29] Group 4: Future Directions - The seminar concluded with a call for deeper integration of AI in cultural communication strategies, emphasizing the need for collaboration between academia and industry [41] - Experts highlighted the importance of understanding audience preferences and creating high-quality cultural symbols for effective communication [39][40]