AI助力新闻IP
Search documents
腾讯研究院刘金松:AI正成为新闻IP重要驱动力
Xin Hua She· 2025-09-12 04:12
Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on the news industry, highlighting the emergence of new communication forces and the shift in user roles from passive consumers to active participants in content creation and dissemination [2][3]. Group 1: AI Trends in News Industry - Human-machine collaboration in intelligent content creation is becoming widespread, allowing journalists to focus more on value judgment and creative expression while AI handles standardized tasks [2]. - The development of AI agents enables real-time interaction, transforming users from mere content consumers to trusted partners in the information service chain [3]. - Individual IPs are evolving towards multimodal formats, with "light studios" and "influencer matrices" emerging as new paradigms for content production and operation [3]. Group 2: Role of Live Broadcasting and Globalization - Live broadcasting has become a crucial platform for public engagement, with AI-enhanced news live streams fostering immediate interaction and emotional connections [3]. - AI facilitates "global localization" of narratives, enabling rapid adaptation of news content for local markets through multilingual translation and data capabilities [3]. Group 3: Redefining Connection and Trust - AI is redefining the concepts of connection and trust in news, shifting from one-way communication to multidimensional interaction, which serves as a critical link between public value, technological capability, and social trust [3]. Group 4: Future Directions - The company aims to leverage its content ecosystem advantages to explore the long-term value and trust foundations of news IP, enhancing efficiency and intelligence in news production, distribution, interaction, and governance [4]. - A call for collaboration among media organizations, research institutions, technology platforms, and users is emphasized to create a new ecosystem that balances technological efficiency with public value in the AI era [4].