#AcademicPublishing

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.

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).

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.

An alarming new analysis has revealed that scientific fraud is no longer the isolated work of rogue researchers, but is instead now driven by large, organized networks—effectively making it an industry that profits from faked data and manipulated publications. According to several recent reports, including a major study published this week and covered by leading outlets such as Science, The New York Times, and The Economist, the scale, sophistication, and commercial reach of fraudulent science has reached unprecedented levels and is undermining trust in legitimate research worldwide (; ; ).

A comprehensive investigation published in the prestigious Proceedings of the National Academy of Sciences has confirmed growing concerns about systematic fraud infiltrating global scientific literature, revealing sophisticated networks of counterfeit research that pose unprecedented threats to medical advancement, technological innovation, and evidence-based policymaking worldwide. The landmark study, conducted by Northwestern University data scientists and highlighted through major international media coverage, exposes coordinated manipulation schemes operating at industrial scale, with implications that extend directly to Thailand’s rapidly developing research infrastructure and academic credibility. As Thai universities and healthcare institutions increasingly rely on international scientific literature to guide critical decisions affecting public health, education policy, and technological development, the integrity of global research becomes essential for protecting Thailand’s citizens and advancing national progress.

A landmark study has confirmed growing fears that fraudulent scientific papers, fueled by shadowy “paper mills,” are increasing at an alarming rate and threatening the very foundations of science. Published in the Proceedings of the National Academy of Sciences and highlighted by The New York Times, the analysis reveals sophisticated fraud networks and a rapidly proliferating output of fake or low-quality research papers that could contaminate medical, technological, and social advancements worldwide (nytimes.com).

In an event reverberating across the scientific community, the Massachusetts Institute of Technology (MIT) has publicly rescinded its institutional support for a recent artificial intelligence (AI) research paper. The move, reported by Retraction Watch, raises fundamental questions about the future of AI-authored academic articles and the ethical challenges facing research institutions worldwide.

The decision by MIT, a global powerhouse in science and technology innovation, has significant implications for the credibility and accountability of scientific literature. AI-generated content, increasingly prevalent in both drafting and data analysis duties, is under the microscope for issues relating to originality, transparency, and academic integrity. For Thai academic institutions, researchers, and the broader public, this case exemplifies the urgent need to establish clear policies and ethical guardrails as the adoption of AI tools accelerates throughout the research landscape.

In a disconcerting revelation, predatory journals appear to be proliferating, despite a notorious experiment intended to expose their unethical practices. The now infamous paper, titled “Get Me Off Your Fckng Mailing List,” was originally submitted as a hoax to highlight the shortcomings of certain academic publications, yet its acceptance underscored a troubling trend that persists today.

To provide some context, the paper repeatedly features the phrase “Get me off your f*cking mailing list” over the span of ten pages. Its straightforward, albeit explicit, statement was accepted for publication back in 2014 by the International Journal of Advanced Computer Technology. The continued operations of such journals have been a growing concern among academics, as they exploit researchers by charging fees for publication without providing rigorous peer review processes.