Core Viewpoint - The emergence of generative AI has led to significant challenges in the media landscape, particularly affecting the quality and authority of news content due to the proliferation of low-quality AI-generated information [3][4]. Group 1: Impact of Generative AI on Media - Generative AI has created a mixed content ecosystem where low-quality AI content undermines professional journalism, leading to a situation where "bad money drives out good" [3]. - The traditional media's monopoly on news production has been disrupted, resulting in a complex and disorderly news ecosystem characterized by multiple centers of content creation [3][4]. - The increasing realism of AI-generated content makes audiences more susceptible to misinformation, with algorithms enabling the targeted dissemination of misleading narratives [3][4]. Group 2: Governance and Mitigation Strategies - Proposed governance strategies include empowering mainstream media through authoritative labeling on platforms to enhance their visibility and credibility [4]. - There is a need for increased technical support from governments and platforms to local media, enabling them to effectively cover public affairs [4]. - A collaborative approach between internet platforms and mainstream media is essential, focusing on comprehensive cooperation across content, operations, and cloud platforms [4][5]. Group 3: Ecological Perspective on AI Governance - The relationship between platforms, media, and AI technology is complex and should not be viewed as oppositional; an ecological perspective is necessary for effective governance [5]. - The traditional media dependency theory should be revisited to find a balance between sustainable media practices, technological development, and government intervention in the context of user-media-platform dynamics [5].