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Trust The “Science”…That Just Retracted 11,000 “Peer Reviewed” Papers

Trust The “Science”…That Just Retracted 11,000 “Peer Reviewed” Papers

It’s yet another reminder of why blindly ‘trusting the science’ may not always be the best go-to move in the future.

217 year old Wiley science publisher has reportedly “peer reviewed” more than 11,000 papers that were determined to be fake without ever noticing. The papers were referred to as “naked gobbledygook sandwiches”,  Australian blogger Jo Nova wrote on her blog last week.

“It’s not just a scam, it’s an industry,” she said. “Who knew, academic journals were a $30 billion dollar industry?”

According to Nova‘s post, professional cheating services are employing AI to craft seemingly “original” academic papers by shuffling around words. For instance, terms like “breast cancer” morphed into “bosom peril,” and a “naïve Bayes” classifier turns into “gullible Bayes.”

Similarly, in one paper, an ant colony was bizarrely rebranded as an “underground creepy crawly state.”

The misuse of terminology extends to machine learning, where a ‘random forest’ is whimsically translated to ‘irregular backwoods’ or ‘arbitrary timberland’.

Nova writes that shockingly, these papers undergo peer review without any rigorous human oversight, allowing egregious errors, like converting ‘local average energy’ to ‘territorial normal vitality’, to slip through.

The publisher Wiley has confessed that fraudulent activities have rendered 19 of its journals so compromised that they must be shuttered. In response, the industry is developing AI tools to detect these fakes, a necessary yet disheartening development. Nova writes:

The rot at Wiley started decades ago, but it got caught when it spent US $298 million on an Egyptian publishing house called Hindawi. We could say we hope no babies were hurt by fake papers but we know bad science already kills people. What we need are not “peer reviewed” papers but actual live face to face debate. Only when the best of both sides have to answer questions, with the data will we get real science:

…click on the above link to read the rest of the article…

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