Building on the previous post, "The Peer Review Conundrum: Advancing Academic Rigor with the RRR Algorithm," linked above, it’s important to bring attention to a recent paper published in Cortex, an Elsevier journal, where the editors identify key challenges shaping the future of scientific publishing.
One of the foremost challenges is the growing strain on the peer review process. While automated tools, such as large language models (LLMs), offer the potential to streamline editorial workflows and expedite review processes, there are concerns that their use may lead to a superficial review quality, lacking the thoroughness traditionally provided by expert reviewers. Editorial board members are also facing difficulties in finding sufficiently qualified reviewers, as heightened pressures to publish rapidly and frequently have made it harder to attract and retain experienced reviewers willing to dedicate time to rigorous evaluation. https://www.sciencedirect.com/science/article/pii/S0010945224002727
PS - A few years ago, a bold and innovative solution was proposed to tackle the growing crisis in peer reviewing: journals should implement a policy of rejecting papers from authors who have published far more articles than they have contributed reviews https://pacheco-torgal.blogspot.com/2021/11/a-radical-solution-to-solve-crisis-in.html
