Predatory Journals Persist Despite Infamous Test Publication

A sweeping new analysis of more than 1.1 million scientific papers and preprints finds that the use of large language models (LLMs) to write or edit manuscripts rose sharply after the launch of ChatGPT in late 2022, with roughly 22.5% of computer science abstracts showing statistical signs of LLM modification by September 2024. The study applied a word‑frequency model trained to detect subtle linguistic fingerprints left by AI tools, and it uncovered fast-growing use across many fields — a trend that poses practical questions for research integrity, peer review and academic practice in Thailand as research institutions and journals grapple with both the promise and the pitfalls of generative AI.

Sophisticated global criminal networks are systematically corrupting academic publishing at unprecedented scales, producing fraudulent research papers faster than legitimate science can be published, according to groundbreaking analysis published in the Proceedings of the National Academy of Sciences that reveals Thailand already experiencing direct consequences from this academic contamination. The Northwestern University-led research team documented that suspected “paper mill” submissions are doubling every 18 months while genuine research output doubles only every 15 years, creating what researchers warn could “completely poison” entire scientific fields unless urgent systemic reforms are implemented immediately. This industrial-scale academic fraud directly threatens Thailand’s national research priorities and university advancement systems, with recent domestic investigations uncovering extensive paper-purchasing networks spanning dozens of Thai institutions and resulting in faculty dismissals across multiple universities. The study’s findings, extensively reported by Times Higher Education, demonstrate that existing misconduct detection systems are fundamentally inadequate against increasingly organized underground industries built on sophisticated collusion, image manipulation, and “journal hopping” strategies designed to evade traditional enforcement mechanisms.

A major new analysis published in the Proceedings of the National Academy of Sciences concludes that “sophisticated global networks” are systematically undermining academic publishing by pushing fraudulent papers into journals at industrial scale — and doing so faster than science can contain them. The researchers find that suspected “paper mill” submissions are doubling every 18 months, far outpacing the overall growth of legitimate research, which doubles roughly every 15 years. The authors warn that without urgent reforms, parts of the scientific literature risk becoming “completely poisoned,” a scenario with direct implications for Thai universities and national research priorities. The study’s key findings and expert warnings were first reported by Times Higher Education, which underscores that existing systems to combat misconduct are struggling to keep up with an increasingly organized underground industry of fake science built on collusion, image manipulation and “journal hopping” to evade detection (Times Higher Education).