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Perplexity is the number a language model produces to describe how surprised it was by your word choices. This post traces the metric to its 1977 origin, works through the formula, and explains why the same passage can score differently depending on which model is doing the reading.
APA, MLA, Chicago and IEEE each answer a ChatGPT citation differently: as an author, a container, a note, or no citation at all. Here is what each one actually requires, and where citation stops and disclosure begins.
Every "best AI humanizer" roundup scores every tool a nine out of ten. This one compares real pricing, free tiers, and who each tool actually suits, including the cases where TextPulse is not the right answer.
Machine-written prose has a signature: predictable words, uniform sentence rhythm, a dash doing the work of a comma, and an argument shape that restates its own heading. Here is what each level actually looks like, with sourced examples instead of a vibe.
A thesis does not read as machine written all at once. It happens section by section, for a different reason each time, so the fix is different too: what actually changes in the abstract, the literature review, the methodology, the results, and the discussion.
Vendors publish false positive rates under 1 percent. Independent researchers testing the same detectors on non-native English writing found rates above 60 percent. Here is what the evidence shows.