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But these things can affect real credibility if not superficial credibility.

I wonder if it's worth staring a web-site where friendly scientists put papers side by side and say 'Was this a Rip Off'? Whereby at least the scammers get some form of possible public shaming for as long as the paper exists.

I can just imagine that site coming up in web searches ... how could people not click it?

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I wonder if there's already a tool that clusters papers by similarity or else how do the reviewers reject a paper on such ground. How do they find it? Do they know them all by heart? Maybe we (the community) can help by creating an open platform that scraps openly available papers and automatically finds and sorts similar ones.

I’m an academic computer scientist. I submit things I review through my institutions cheating detection system. I have found plagiarized submissions this way.

I was not aware of it, thanks for the info. I followed up on the topic and found the famous ones.

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