1. New tool detects fake, AI-produced scientific articles.
- Subjects
GENERATIVE artificial intelligence ,ALZHEIMER'S disease ,COMPUTATIONAL intelligence ,SYSTEMS theory ,CHATGPT - Abstract
A new machine-learning algorithm called xFakeSci has been developed by Ahmed Abdeen Hamed, a visiting research fellow at Binghamton University, to detect fake scientific articles produced by artificial intelligence. The algorithm can detect up to 94% of bogus papers, which is nearly twice as successful as other data-mining techniques. Hamed and collaborator Xindong Wu created 50 fake articles for each of three medical topics and compared them to real articles on the same topics. The algorithm analyzes the number of bigrams and how they are linked to other words and concepts in the text to identify patterns that distinguish fake articles from real ones. Hamed plans to expand the range of topics to further develop the algorithm and raise awareness about the issue of fake research papers. [Extracted from the article]
- Published
- 2024