Core Viewpoint - The mainstream media in China is undergoing a systematic transformation driven by the challenges posed by the internet and new technologies, leading to user loss, revenue decline, and a decrease in trust. The government is promoting this transformation strategically, moving from partial explorations to a comprehensive ecological integration approach [1][2]. Group 1: Historical Trajectory of Media Integration - The transformation of mainstream media has evolved from a passive response to the internet to a user-centered, technology-driven, and ecologically focused deep restructuring phase [2]. - The initial phase of media integration was characterized by a "small integration" approach, where the internet was seen merely as a tool for extending existing business [6][7]. - The "medium integration" phase involved a deeper understanding of integration, where media began to reconstruct internal operations and management processes [8][9]. Group 2: Driving Forces and Challenges - The crisis of traditional media was triggered by the rise of the internet, which diluted the advantages of administrative resources and led to a significant decline in audience size and advertising revenue [3][4]. - The number of published newspapers in China dropped from 48.23 billion copies in 2012 to 24.99 billion copies in 2024, indicating a drastic decline in traditional media consumption [4]. - The advertising revenue for traditional broadcasting and television fell from 109.92 billion yuan in 2018 to 58.37 billion yuan in 2023, highlighting the financial challenges faced by mainstream media [5]. Group 3: Systematic Transformation and Theoretical Framework - The systematic transformation of mainstream media is not just a technical upgrade but involves a comprehensive reshaping of development concepts, organizational logic, and institutional arrangements [10]. - The "big integration" theory emphasizes the need for media organizations to transcend traditional boundaries and engage in cross-sector integration to create a new hub that serves the digital economy [12][14]. - The "big integration" approach aims to leverage institutional advantages and actively participate in the modernization of governance systems, focusing on building autonomous and controllable internet platforms [14]. Group 4: Progress and Innovations in Media Transformation - A modernized communication system has begun to take shape, characterized by a technology-driven, matrix-linked, and innovative discourse system [26]. - The establishment of a comprehensive media matrix that integrates various forms of media has been achieved, enhancing the effectiveness of communication [27]. - The "news+" model has emerged as a fundamental approach for mainstream media, integrating news dissemination with public services and business resources [38]. Group 5: Existing Challenges in Systematic Transformation - Despite progress, mainstream media still faces challenges in creating autonomous and controllable platform ecosystems, with user engagement and self-sustaining revenue models needing improvement [44]. - Structural issues persist, affecting resource allocation efficiency and overall competitiveness within the media system [46].

Core Viewpoint - The article emphasizes that AI technology is fundamentally transforming the internet media industry by enhancing content production, distribution, and consumption processes, leading to a more efficient and innovative media ecosystem [1][2][3]. Group 1: Industry Overview - The Chinese internet media industry is transitioning into an AI-enabled intelligent ecosystem, with user growth slowing and competition shifting towards existing markets [2][6]. - The industry is experiencing a shift from information intermediaries to intelligent service hubs, driven by AI technology that enhances content quality and commercial models [2][4]. Group 2: AI Empowerment in Content Production - Generative AI is reshaping the content production landscape by breaking down professional barriers and enabling users to create diverse content forms from simple text prompts [24]. - The trend of mass content creation is highlighted, with 1.1 billion internet users in China potentially participating in multi-modal content creation [24] . Group 3: AI Empowerment in Content Review - Generative AI technology is innovating content review systems through automation, precise judgment, human-machine collaboration, and dynamic strategies [26]. - AI enhances the efficiency and accuracy of content review processes, allowing for real-time adaptation to new types of violations [26]. Group 4: AI Empowerment in Content Distribution and Platform Operations - AI technology improves content distribution efficiency by analyzing user behavior and optimizing recommendation paths, thus enhancing user engagement and expanding content reach [28]. - AI also aids in user operations by matching quality content with user needs and optimizing resource allocation, leading to new commercial opportunities [28]. Group 5: AI Empowerment in Content Consumption - The shift from one-way communication to interactive engagement is facilitated by generative AI, allowing consumers to evolve into content creators [31]. - AI technologies lower barriers to information access and enhance user experiences through personalized recommendations and interactive services [31]. Group 6: Challenges in the AI Era - The rise of generative AI raises concerns about content authenticity, necessitating stronger review and regulatory frameworks [46]. - AI video generation faces limitations in physical logic consistency and character identity coherence, which are critical for commercial applications [49]. - High technical costs create significant entry barriers, leading to a competitive landscape dominated by large players [51]. - Privacy and security issues arise from the use of vast user data, prompting the need for robust governance frameworks to protect user trust [54]. Group 7: Case Studies of AI Implementation - The People's Daily utilizes generative AI to enhance video content creation and streamline the media production process [36]. - The Paper integrates AI tools across its operations to improve content production efficiency and ensure content safety through a comprehensive risk management platform [38]. - Douyin embeds AIGC technology throughout its content lifecycle, creating a robust ecosystem for content creation and monetization [40]. - Weibo develops its own multi-modal model to enhance its content ecosystem, focusing on intelligent upgrades across the content production, distribution, and consumption chain [42].

Core Viewpoint - The article emphasizes the need for a systematic transformation of mainstream media in China, focusing on enhancing its communication capabilities, guiding power, influence, and credibility to support the modernization of China [1] Group 1: Transformation of Communication Thinking - The shift from "supply-oriented" to "effect-oriented" communication thinking is essential for mainstream media to meet growing user demands and effectively implement the recommendations from the 20th Central Committee [2] - Utilizing big data to analyze user profiles will help in content production, allowing for precise planning and targeted dissemination to improve content-user matching [2] - A new evaluation system is necessary for the all-media era, focusing on the effectiveness of communication rather than traditional metrics like publication volume and viewership [2] Group 2: Shift in Communication Platforms - The transition from "traditional main stage" to "internet main battlefield" requires mainstream media to adapt resources and focus towards the internet, especially mobile platforms [3] - An integrated production and communication mechanism must be established to align with internet communication characteristics, addressing the mismatch of traditional processes [3] - Mainstream media should develop independent new media platforms to gain control over user data and reduce reliance on commercial platforms, thereby enhancing their influence [3] Group 3: Expansion of Communication Functions - Mainstream media should evolve from being a mere information provider to a comprehensive service platform that connects the government and the public [4] - Strengthening local news service capabilities is crucial, as many mainstream media outlets currently focus on trending topics at the expense of local news [4] - The construction of comprehensive service platforms should include not only news but also embedded services related to people's livelihoods, government affairs, and smart city operations [4]