Fake Science: The Misinformation Pandemic in Scientific Journals

Another cluster of fake scientific papers has been discovered, this time primarily about electronic medical devices and software. A group of three researchers has published an exposé of papers in which ordinary terms like artificial intelligence and facial recognition are replaced with bizarre alternatives auto-generated from a thesaurus. This appears to be an attempt to hide plagiarism, AI-driven paper auto-generation and/or “paper mill” activity, in which companies generate forged research and sell it to (pseudo-)scientists who want to get promoted.

GENUINE TERMAUTO-GENERATED REPLACEMENT
Big dataColossal information
Facial recognitionFacial acknowledgement
Artificial intelligenceCounterfeit consciousness
Deep neural networkProfound neural organization
Cloud computingHaze figuring
Signal to noiseFlag commotion
Random valueIrregular esteem
Examples of machine generated substitutions

Often these papers originate in China, where the CCP has mandated that every single medical doctor must publish research papers to get promoted (i.e. in their non-existent spare time). If you’re new to this topic, my previous article on Photoshopped images and impossible numbers in scientific papers provides some background along with an entertaining begging letter from a Chinese doctor who got busted.

Most of the bad science covered on the Daily Sceptic is of the intellectually dishonest kind: an absurd assumption here, ignored evidence over there. Sometimes professors – like those at Imperial College London – turn out to be incapable of using computers correctly and are presenting internal data corruption in their models as ‘evidence’, a problem I wrote about in my first article for this site. While these papers are extremely serious for public trust in science, especially given the huge impact they have had, there are even worse problems lurking in the depths of the literature. The biggest is probably 100% fake papers that report on non-existent experiments, often in obscure areas of Alzheimer’s research or oncology.