分析4万篇新闻发现，本地和高校媒体广泛用大模型写导语，但结尾仍人工处理。
Echoes of Automation: The Increasing Use of LLMs in Newsmaking
- 通过三款检测工具分析新闻文本，识别出近年生成式AI使用显著上升
- 大模型多用于导语部分，结论段仍以人工撰写为主，且风格更统一
- 生成内容词汇更丰富、易读性更高，但正式度下降，尤其在地方媒体中
生成式人工智能（GenAI）的迅猛发展对新闻业的真实性和作者权构成挑战。本研究分析了来自主流、地方及高校媒体的逾4万篇新闻文章，涵盖多种媒体形式。利用三种先进文本检测工具（如Binoculars、Fast-Detect GPT、GPTZero），结果显示近年来生成式AI使用显著增加，尤以地方和高校媒体为甚。句级分析表明，大语言模型常用于新闻导语部分，而结论部分则多由人工撰写。语言学分析显示，生成内容提升了词汇丰富度和可读性，但降低了正式程度，导致写作风格趋于一致，尤其在地方媒体中表现明显。
原文摘要 · Abstract (English)
The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 news articles from major, local, and college news media, in various media formats. Using three advanced AI-text detectors (e.g., Binoculars, Fast-Detect GPT, and GPTZero), we find substantial increase of GenAI use in recent years, especially in local and college news. Sentence-level analysis reveals LLMs are often used in the introduction of news, while conclusions usually written manually. Linguistic analysis shows GenAI boosts word richness and readability but lowers formality, leading to more uniform writing styles, particularly in local media.
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