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The problem is that people keep consuming the samey low quality content instead of skipping it (think superhero movies and Netflix series that are all indistinguishable from each other). As long as they're satisfied with that, they'll fall for fake product reviews too.
Someone did something like that to identify HN authors (as in correlating similar writing styles between pseudonyms) a few years back, for example: https://news.ycombinator.com/item?id=33755016
Or a study applying similar analysis to LLMs: https://arxiv.org/pdf/2308.07305
Of course, LLM output can be tweaked to evade these, just like humans can alter their writing style or handwriting to better evade detection. But it's one approach.
I have my doubts about the effectiveness of this method and realistically, it won't make any difference because the bad actors will just use an LLM that doesn't snitch on them, so you're technically correct.