Software aims to check a paper’s trustworthiness
A tool using natural language processing and machine learning algorithms is being rolled-out in journals to automatically flag reproducibility, transparency and authorship problems in scientific papers.
The tool, Ripeta, has existed since 2017 and has already been run on millions of journal papers following its release, but now the tool’s creators have enabled its latest versions to be run on papers before peer review. In August, Ripeta was integrated with the widespread manuscript submission system Editorial Manager in a bid to identify shortcomings in papers before they are sent out to peer review at journals. At this stage tool’s creators won’t disclose which journals are using Ripeta, citing commercial confidentiality.