Detecting LLM-Generated Web Fiction with "Classical" Machine Learning (AIGC Text Detection)
SMRTR summary
A developer frustrated by AI-generated fanfics flooding Lofter built a surprisingly effective AI text detector using old-school machine learning. By training seven binary classifiers on nearly 10,000 human-written texts and LLM-generated samples, the tool achieves around 85% sentence-level accuracy. Testing revealed 32% of trending Lofter posts were likely AI-generated, with a false positive rate below 0.04% on verified human writing.
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