Core Viewpoint - The integration of AI in journalism emphasizes the importance of human judgment, questioning, trust-building, and narrative skills, which AI cannot replicate [3][4][5][6][7] Group 1: Human-Machine Collaboration - In the AI era, the role of human journalists is crucial for making judgments about news value and importance [3] - Good journalism requires the ability to ask insightful questions, a skill that AI struggles to replace [3] - The responsibility of journalists to ensure the credibility of news content is heightened, making authorship and accountability more significant [3][4] Group 2: Gatekeeping Role - The shift of agenda-setting power to algorithms necessitates a return to the traditional gatekeeping role of media to maintain information authority [4][5] - The media must resist being swayed by algorithms and instead focus on presenting diverse and important societal issues [5] Group 3: Urban Media and Aging Society - Urban media must address the needs of the aging population, recognizing that older adults are a significant demographic with specific content interests [6][7] - The development of content for older adults should focus on their interests rather than merely adapting technology for accessibility [6][7] Group 4: Intergenerational Connection - Urban media has a responsibility to foster intergenerational connections, allowing for shared experiences and understanding among different age groups [7] - Media should not only inform but also engage the public in critical societal discussions, enhancing their ability to think and act on social issues [7]

Group 1: Core Perspectives - The integration of Southern Metropolis Daily's two major clients, Nandu News Client and N Video Client, reflects a spirit of innovation and a willingness to experiment in the face of media transformation driven by AI [2] - The media landscape is undergoing a fundamental change due to AI, which extends beyond traditional technology waves, impacting various fields such as color, image, and facial recognition [3] - The media must not only rely on superficial applications of AI tools but should strive to develop a unique discourse system and cultural environment [3] Group 2: Technological Transformation - AI is seen as a "double-edged sword," providing efficiency in tasks like document editing but lacking creativity and warmth [3] - The media should adopt reverse thinking and focus on producing content that combines imagination, depth, and human warmth, rather than blindly following technological logic [3] - It is crucial for mainstream media to establish rules for AI application, ensuring that core content creation remains under human control to maintain editorial integrity [3] Group 3: Changes in Communication - The current era is characterized by shallow and fragmented information consumption, leading to a decline in the audience's patience and ability to engage with in-depth content [5] - High-quality public cultural products, such as in-depth reports, are facing challenges in their reach due to the dominance of digital algorithms and fragmented reading habits [5] - Mainstream media must redefine its content strategy to accurately identify and meet the public's true needs, focusing on high-quality public cultural products [5] Group 4: Information Aggregation - The ability to aggregate information is a significant challenge posed by AI technology, as platforms utilize self-sustaining models and precise algorithms to capture user attention [6] - To maintain discourse power, mainstream media must effectively activate the public's content production potential and harness the power of public space for dissemination [6] - The exploration of a new "production and sales integration" model is essential for mainstream media to adapt to the evolving landscape [6]

Core Insights - The Southern Metropolis Daily announced the merger and upgrade of its two major clients, Nandu News Client and N Video Client, aiming to enhance its role in the AI era [2] - Yu Guoming, a prominent academic, emphasized the importance of mainstream media in establishing a unique value position within the evolving media ecosystem, particularly through strategic collaboration with platform media [2][3] Group 1: Media Transformation - The systemic transformation of media involves integrating internal resources, which lays the foundation for deeper ecological changes [2] - Mainstream media must focus on "value availability," leveraging its strengths in producing valuable content to guide platform media in creating high-quality content and communication scenarios [3] - The collaboration between mainstream and platform media should encompass data and traffic sharing, creating a win-win mechanism [3] Group 2: Urban Media and Community Engagement - Urban media should respond to public concerns by producing content that resonates with the community, thereby enhancing the "temperature" of the city [4] - The concept of "temperature" reflects the quality of relationships and the media's ability to address citizens' core needs, which is essential for optimizing urban governance [4] - Developing new urban media involves creating localized models that connect deeply with community residents, addressing their practical issues and needs [4] Group 3: Role of AI in Media - Mainstream media should not compete directly with AI technologies but rather act as value guides and collaborators, focusing on areas where AI may fall short [5] - The integration of AI tools in the N Video platform aims to empower journalists to adapt to new media landscapes and enhance their creative processes [5] - The role of mainstream media is evolving from merely being content providers to becoming connectors and coordinators within the media ecosystem [5]