SlopShape spots AI-written commercial pages by structure, not word choice
What happened
这篇论文做了一个叫 SlopShape 的检测工具，专门识别 AI 生成的商业博客。它不查具体用了什么词，而是分析 187 个结构特征——比如信息是怎么组织的、先说什么后说什么、有没有引用证据、语气是什么样的。训练数据是 2250 篇 ChatGPT 出现前的人类文章，以及用五款主流模型生成的 11250 篇 AI 版本。在没见过的公司文章上测试，识别...
Coverage
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- Hacker News front pageSlopShape spots AI-written commercial pages by structure, not word choice
SlopShape uses 187 structural features—how info is ordered, what evidence appears, what voice is used—to detect AI-generated commercial blog posts without looking at word-level signals. Trained on 2,250 pre-ChatGPT human posts and 11,250 AI mirrors from five frontier models, it hits 98.0 macro-F1 on held-out companies. When every AI post is reworded by its own model, F1 stays at 98.1. It also attributes 79.3% of AI posts to the correct source model. Human posts occupy rare structural patterns. Code and artifacts are public.