Post by Samson Abanni (@Abanni)

AI detection tools primarily use "perplexity" and "burstiness" to identify machine-generated text. Perplexity measures how predictable a word choice is, while burstiness assesses the variation in sentence structure. Research indicates that non-native English speakers often produce text with low perplexity and low burstiness because they rely on a more standardized, limited vocabulary and consistent grammatical patterns. Consequently, these detectors frequently flag authentic work by non-native

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