vellavu
Scooby
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Algorithm-generated nonsense reviews fool actual human peer reviewers one in four times | ExtremeTech
Every so often, scientists need a little picking on, too. Especially when the well-respected peer reviewing process goes horribly wrong.
About a decade ago, some grad students from MIT came up with a project that started as a shot over the bow at computer scientists and their ever-increasing use of buzzwords and jargon. They made a program called SCIgen that uses a Markov chain to stochastically (randomly) sample out clauses from a body of text called a “corpus.” It then arranges the words in a syntactically correct way, which nevertheless reads like a name-dropping version of The Jabberwocky, crossed with Mad Libs. “One useful purpose for such a program,” they suggest, “is to auto-generate submissions to conferences that you suspect might have very low submission standards.”
I think it can fool them four in four times if it focuses on postmodernism social science research.
Every so often, scientists need a little picking on, too. Especially when the well-respected peer reviewing process goes horribly wrong.
About a decade ago, some grad students from MIT came up with a project that started as a shot over the bow at computer scientists and their ever-increasing use of buzzwords and jargon. They made a program called SCIgen that uses a Markov chain to stochastically (randomly) sample out clauses from a body of text called a “corpus.” It then arranges the words in a syntactically correct way, which nevertheless reads like a name-dropping version of The Jabberwocky, crossed with Mad Libs. “One useful purpose for such a program,” they suggest, “is to auto-generate submissions to conferences that you suspect might have very low submission standards.”
I think it can fool them four in four times if it focuses on postmodernism social science research.