Show HN: Training a model to identify AI web content from structure alone
Researchers from the University of Maryland and Google DeepMind developed a method to identify AI-generated web content from its structure alone. A new study ported this method to commercial web pages, achieving 98% accuracy in distinguishing between AI-generated and human-written content. The study found that AI-generated content often exhibits a 'tidy, self-announcing' structure, where the main point is repeated in the title, intro, and ending.
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