分析谷歌笔记助手生成播客如何用固定模板和美式文化默认值重构对话体验。
AI-generated podcasts: Synthetic Intimacy and Cultural Mistranslation in NotebookLM's Audio Overviews
- 用固定模板生成对话，使内容结构化但缺乏真实互动感。
- 将多语言文本统一转为中西部美式口音，抹除文化差异。
- 适合关注AI媒体对公共话语影响的研究者或数字文化观察者。
本文分析谷歌笔记助手（NotebookLM）生成的AI播客，该工具可将用户上传的文档转化为由两名拟人化AI主持人对话的音频节目。尽管此类播客已被用于医学教育等场景，但尚未作为媒介形式被系统研究。通过上传不同类型文本并分析输出结果，发现其结构严格遵循固定模板。此外，NotebookLM不仅将多语言文本转译为标准化的中西部美式口音，还把文化背景简化为白人、受过教育的中产阶级美国主流文化默认值。这一现象标志着公众话语塑造方式的重大转变——从2000年代初至今人类播客所体现的多元公共领域，转向对播客形式的抽象化处理。
原文摘要 · Abstract (English)
This paper analyses AI-generated podcasts produced by Google's NotebookLM, which generates audio podcasts with two chatty AI hosts discussing whichever documents a user uploads. While AI-generated podcasts have been discussed as tools, for instance in medical education, they have not yet been analysed as media. By uploading different types of text and analysing the generated outputs I show how the podcasts' structure is built around a fixed template. I also find that NotebookLM not only translates texts from other languages into a perky standardised Mid-Western American accent, it also translates cultural contexts to a white, educated, middle-class American default. This is a distinct development in how publics are shaped by media, marking a departure from the multiple public spheres that scholars have described in human podcasting from the early 2000s until today, where hosts spoke to specific communities and responded to listener comments, to an abstraction of the podcast genre.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。