The days of spotting a predatory journal by its poor grammar and strange email addresses are mostly behind us. In 2026, the "scam" has become highly sophisticated, leveraging artificial intelligence to create a veneer of absolute legitimacy.
The Rise of the "Deepfake" Editor
Recent investigations by the JournalsHub data team have uncovered a disturbing trend: predatory publishers are using AI-generated headshots (GANs) and LLM-generated biographies to create fake Editorial Boards. These "academics" don't exist, but a quick Google search might show a fake LinkedIn profile or even generated papers attributed to their name.
Why is this dangerous?
Many university guidelines tell researchers to "check the editorial board" as a primary method of verifying a journal's quality. If the board looks prestigious, researchers pay the Article Processing Charge (APC) and submit their work, only to find out later their paper is published in an unindexed void with zero academic value.
How to Protect Yourself
- Cross-Reference with OpenAlex: Do not just look at the journal's website. Use JournalsHub to see if the journal is actively indexed in OpenAlex or DOAJ.
- Look for "Dead Ends": Fake editors rarely have a trace back to a verifiable university faculty directory (.edu or .ac.uk domain).
- Check the Review Speed: If a journal promises "peer review in 48 hours" with a high APC, it is almost certainly a predatory operation, regardless of who is on the board.
Stay vigilant. Always use transparent, data-driven platforms like JournalsHub.online to verify a journal's metrics before submitting your hard-earned research.