This word has been excessively multiplied in scientific articles. And AI is to blame

European academic publishing is facing a linguistic shift due to the increasing integration of Artificial Intelligence in research paper generation. Researchers are identifying distinct patterns in scientific articles, signaling the growing influence of AI on scholarly discourse and the need for transparency regarding its use. This development prompts discussions about academic integrity and the future of scientific communication. A notable trend observed is the "exaggerated multiplication" of certain words and phrases within scientific articles, which researchers attribute to the outputs of generative AI models. These linguistic fingerprints serve as potential indicators of AI-assisted or AI-generated content, prompting further scrutiny into the authenticity and originality of published research. Understanding these patterns is crucial for academic institutions and publishers to adapt their evaluation processes. The implications of AI's pervasive use in academic writing extend to the credibility and interpretability of scientific findings. While AI can accelerate research and content creation, the potential for undetectable AI-generated text raises concerns about academic fraud and the dilution of genuine human intellectual contribution. This evolving landscape necessitates clear guidelines and detection mechanisms to ensure the continued trustworthiness of scientific literature.