Medical Laboratory Scientist at bench with micropipettes. —
Courtesy U.S. National Institutes of Health (Public Domain)
By deploying a specially configured artificial intelligence, researchers at the University of Colorado Boulder have exposed ‘predatory’ scientific journals—those that trick scientists into paying for publication without proper peer review.
This was achieved by analyzing journal websites for AI-learned red flags like fake editorial boards, excessive self-citation, and sloppy errors. Through these pre-sets. the AI flagged over 1,400 suspicious titles out of 15,200 assessed.
The new AI tool automatically screens scientific journals, evaluating their websites and other online data for certain criteria: Do the journals have an editorial board featuring established researchers? Do their websites contain a lot of grammatical errors?
Many scientists, including this author, receive messages to our email inboxes. These spam messages come from people who purport to be editors at scientific journals, usually ones Acuña has never heard of, and offer to publish his papers — for a hefty fee.
The types of publications are sometimes referred to as “predatory” journals, since they target scientists, convincing them to pay hundreds or even thousands of dollars to publish their research without proper vetting.
Some organisations have long campaigned against such publications. For instance, the Directory of Open Access Journals (DOAJ). Since 2003, volunteers at the DOAJ have flagged thousands of journals as suspicious based on six criteria. (Reputable publications, for example, tend to include a detailed description of their peer review policies on their websites.)
Why does this matter?
In an era when prominent figures (notably Donald Trump) are questioning the legitimacy of science, stopping the spread of questionable publications has become more important than ever before.
Legitimate science
When scientists submit a new study to a reputable publication, that study usually undergoes a practice called peer review. In other words, outside experts read the study and evaluate it for quality.
AI model
The new AI system is not yet publicly accessible; however, the researchers hope to make it available to universities and publishing companies soon.
The application of the AI model appears in the journal Science Advances, titled “Estimating the predictability of questionable open-access journals.”