The scientific community is facing a crisis as AI-generated research papers are flooding Google Scholar, threatening the credibility of scientific studies. These fake studies, generated by artificial intelligence algorithms, are often indistinguishable from real research papers, making it difficult for experts to identify and filter out the fake ones.
The issue has become so severe that some researchers are calling it a "crisis of credibility" in the scientific community. The problem is exacerbated by the fact that many researchers rely on Google Scholar as a primary source for finding and verifying research papers.
The AI-generated papers are often created using language models that can generate coherent and context-specific text. These models can produce papers that appear to be written by humans, complete with fake authors, institutions, and references.
Experts warn that the proliferation of fake research papers can have serious consequences, including the spread of misinformation, the undermining of trust in scientific research, and the waste of resources on fake studies.
