Perhaps they are using Google translate. Always best to translate from your language to English, then back again to see just how much it mangles it. Their system has gotten better since they have gone to end to end deep learning, but for languages with relatively small samples it still gets a lot of things wrong.
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Google translate seems to render highly variable outcomes, depending on your language... and if someone is using a long of "local slang" in the original post, you end up with some high amusing — and occasionally mysterious — prose!