2023 年底，新闻可信度评级机构 NewsGuard 发布了一项数据，显示在 2023 年 5 月到 12 月这个时间段，由人工智能驱动的假新闻网站增长了 1000%，数 量从 49 个激增到 600 多个。 而到 2024 年 6 月，这个数字已经变成 1265 个。NewsGuard 将其称为"一个可悲的里程碑"。因为根据测算，人工智能驱动的假新闻网站，数量正式超过了 美国本土的报纸网站数量（1213 家）。 这确实是新闻业的可悲现状。传统的、值得信赖的、机构化的本地新闻来源正在大批次地湮灭，2005 年到 2022 年期间，美国约有 2500 家当地报纸倒 闭，取而代之的却是大量的 AI 假新闻网站。这些网站正成为许多不明真相者的信息来源，并进一步流传到社交网络中，变成流行甚广的虚假社交货币。 AI 假新闻正在泛滥，这样的趋势同样在国内发生。今年年初，西藏日喀则定日县发生 6.8 级地震，多张"小男孩被埋图"在网络疯传，引发广泛关注。后经 公安机关核查，这些图片均由一位青海网友使用 AI 工具生成，并上传网络，引发谣言扩散。 新闻截图 不久前"顶流男星豪赌 10 亿"也是相当典型的案例。根据公安部的通 ...

Core Viewpoint - The article discusses the rise of AI-generated news and its implications, highlighting the blurred lines between reality and fiction in the media landscape [3][9]. Group 1: AI-Generated News Phenomenon - Recent incidents of AI-generated fake news, such as the rumor about a top male star gambling away 1 billion yuan, illustrate the rapid spread of misinformation on social media platforms [5][11]. - The use of AI in news production is not new, with organizations like Xinhua News Agency having developed AI reporters years ago, but the current trend of AI generating news content poses new challenges [7][24]. - AI-generated fake news can create a feedback loop, where users generate content that AI then uses to produce further misinformation, leading to a cycle of distorted information [8][41]. Group 2: Impact on Media and Journalism - The proliferation of AI-generated news has raised concerns among media professionals about the reliability of information, as many journalists now rely on AI tools for data collection and content generation [32][33]. - Instances of AI-generated content leading to public misinformation have been noted, such as false reports about significant events like earthquakes or celebrity deaths [18][23]. - The introduction of AI in journalism has led to a paradox where it is intended to save time but often results in increased workload due to the need for verification of AI-generated data [32][33]. Group 3: Regulatory and Ethical Considerations - There are ongoing discussions about the need for regulations to manage AI-generated content, including proposals for labeling AI-generated news to help users discern its authenticity [44]. - Recent measures by government bodies aim to enhance the reliability of AI-generated content, including the implementation of identification methods for synthetic content [44][48]. - The dual nature of AI as both a tool for efficiency and a potential source of misinformation underscores the need for careful management in its application within the media industry [48].