Decontamination of the scientific literature
Guillaume Cabanac

TL;DR
This paper discusses the pervasive issue of misconduct and errors contaminating scientific literature and proposes strategies to identify, prevent, and remediate these problems to ensure integrity.
Contribution
It introduces a framework for decontaminating scientific literature through detection, prevention, and corrective measures against misconduct and errors.
Findings
Many flawed papers pass peer review unnoticed
Current publishers have accepted hundreds of problematic papers
Proposed actions aim to improve literature integrity
Abstract
Research misconduct and frauds pollute the scientific literature. Honest errors and malevolent data fabrication, image manipulation, journal hijacking, and plagiarism passed peer review unnoticed. Problematic papers deceive readers, authors citing them, and AI-powered literature-based discovery. Flagship publishers accepted hundreds flawed papers despite claiming to enforce peer review. This application ambitions to decontaminate the scientific literature using curative and preventive actions.
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Law, AI, and Intellectual Property · Academic integrity and plagiarism
