FACSIFFT
The FASCIFFT project aims to address the growing problem of fake scientific publications (FSPs), which undermine the integrity of research and erode public trust in science. By quantifying the prevalence of FSPs, developing automated detection methods, cleansing the scientific record, building a global network, and educating the scientific community, FASCIFFT will contribute to preserving scientific integrity and promoting responsible research practices.
Approach
The project will employ a multidisciplinary approach, combining expertise in computer science, linguistics, and medical research. Key steps include literature review, data collection, feature engineering, machine learning, network analysis, and outreach and collaboration.
Project Goals
The expected outcomes of the project include a comprehensive understanding of the FSP problem, automated detection tools, a global network, recommendations for improving the peer review process, and educational resources. By addressing the FSP problem, FASCIFFT will enhance the credibility and reliability of scientific research and foster a more trustworthy and ethical scientific ecosystem.
Publications
- Ahmar K. Hussain, Marcus Thiel, Bernhard A. Sabel, Andreas Nürnberger (2024). Fake Papers in Science: Paper Mills, Characteristics and Detection Strategies. 20th European Computer Science Summit, Malta. [Poster]
Team and Contact
Prof. Dr.-Ing. Andreas Nürnberger andreas.nuernberger@ovgu.de
Prof. Dr. Bernhard Sabel bernhard.sabel@ovgu.de
Ahmar Kamal Hussain, M.Sc. ahmar.hussain@ovgu.de
Marcus Thiel, M.Sc. marcus.thiel@ovgu.de
Funding
The project is funded by Ministerium für Wissenschaft, Energie, Klimaschutz und Umwelt des Landes Sachsen-Anhalt.