A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

House Republicans warn Chinese "paper mills" may be flooding U.S. science with fake research, potentially compromising ...

A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...

A new paper proposes a systems-level framework for evaluating the trustworthiness of research findings across methods and ...

The number of scientific papers flagged as fraudulent has been growing. Now a new paper sheds light on how it’s being done. Researchers found loose networks of unscrupulous editors working with ...

A research team at the University of Washington and The Allen Institute for AI built OpenScholar, an open-source AI model designed specifically to synthesize current scientific research. In tests, ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

Telltale signs of AI-generated writing have become more common in research papers in recent years. This has decreased ...

Learning how to conduct accurate, discipline-specific academic research can feel daunting at first. But, with a solid understanding of the reasoning behind why we use academic citations coupled with ...