用ChatGPT自动识别视频广告段落并提取关键词，发现教育类内容中广告泛滥。
Leveraging ChatGPT for Sponsored Ad Detection and Keyword Extraction in YouTube Videos
- 用GPT-4o分析421份字幕，识别广告片段
- 提炼出9类内容与4类广告类别，覆盖教育视频
- 为数字媒体广告策略研究提供新方法
本研究提出一种基于大模型的YouTube视频广告检测与关键词提取新方法。通过收集421份自动生成与人工标注的字幕，输入经提示工程优化的GPT-4o进行广告段落识别，使用KeyBERT提取关键词，并再次调用ChatGPT完成广告类别判断。结果表明，在各类教育主题视频中普遍存在产品相关广告，利用GPT-4o将广告类别精炼为9个内容类别与4个广告类别。该方法在效率和可扩展性上优于传统方式，为理解数字媒体中广告嵌入模式提供了新视角，凸显大模型在广告检测中的潜力。
原文摘要 · Abstract (English)
This work-in-progress paper presents a novel approach to detecting sponsored advertisement segments in YouTube videos and comparing the advertisement with the main content. Our methodology involves the collection of 421 auto-generated and manual transcripts which are then fed into a prompt-engineered GPT-4o for ad detection, a KeyBERT for keyword extraction, and another iteration of ChatGPT for category identification. The results revealed a significant prevalence of product-related ads across various educational topics, with ad categories refined using GPT-4o into succinct 9 content and 4 advertisement categories. This approach provides a scalable and efficient alternative to traditional ad detection methods while offering new insights into the types and relevance of ads embedded within educational content. This study highlights the potential of LLMs in transforming ad detection processes and improving our understanding of advertisement strategies in digital media.
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