Investigations reported on November 13, 2026, revealed that a coordinated ring of predatory open-access journals has been publishing low-quality, AI-generated “slop” papers falsely attributed to established academics without their knowledge, submission, or consent. Discovered when automated indexing alerts flagged bogus manuscripts to senior researchers at institutions including the University of Gothenburg, Stanford University, and the University of California, Berkeley, the scheme pairs automated text generation with academic identity theft to fabricate legitimacy for fee-charging publishing operations.
How the identity-theft publishing ring was uncovered
The unauthorized publications came to light when Alan Said, an associate professor of computer science at the University of Gothenburg, received an automated Google Scholar notification alerting him to a newly indexed paper bearing his name as author. Titled “Intelligence Systems Supporting Sustainable Global Development,” the paper appeared in the American International Journal of Research and Innovation (AIJRI). While the title loosely resembled Said’s actual research domains in artificial intelligence and recommender systems, Said had never written, reviewed, or submitted the work.
Upon examining the text, Said found that the manuscript consisted of vacuous, computer-generated prose supported by irrelevant and hallucinated citations, describing the article as having no substantive content and reading “like slop.” Subsequent investigations uncovered dozens of similar papers falsely listing prominent computer scientists, including Stanford University professors Fei-Fei Li and Christopher Manning, as well as UC Berkeley faculty Michael I. Jordan and Stuart Russell. None of the listed scholars had any relationship with the publications or the publishing entities.
Anatomy of the AI slop network: fake archives and author cycling
Cross-journal investigations linked the fraudulent papers to a cluster of closely affiliated titles, including AIJRI, the American Journal of Advanced Multidisciplinary Research and Innovation (AJAMRI), and the American Journal For Multidisciplinary Research (AJFMR). Despite marketing themselves as international peer-reviewed journals, all three domains were newly registered in 2026 while hosting fabricated back-archives with dates predating their registration. The websites shared identical page layouts, graphic templates, a common United States WhatsApp contact number, and overlapping editorial boards featuring faculty primarily from Indian institutions without verifiable affiliations. Multiple titles listed a common editor-in-chief under the name Denish Brown.
The network operates on an open-access author-fee model, charging article processing charges (APCs) of approximately $200 for international authors. This operational model mirrors patterns documented in analyses of paper-mill red flags and predatory indexing rings cataloged in Cabells Predatory Reports. When Said contacted the hosting provider and domain registrar to report the impersonation and demand removal, the journal did not retract or delete the paper. Instead, the site operators merely swapped Said’s name with another author’s name, cycling through several different credited scholars over subsequent days across identical AI-generated text.
Impacts on scholarly metrics, discovery services, and early-career researchers
The case underscores how predatory publishing networks exploit automated discovery infrastructure to bootstrap illicit credibility. Search engines and bibliographic scrapers ingest newly posted web pages rapidly, automatically attaching unvetted articles to researchers’ public bibliographies. Because indexing happens within hours while formal investigation and removal take weeks or months, deceptive journals gain a window of apparent legitimacy.
The primary danger extends beyond reputational damage to senior researchers. By presenting mastheads and author lists populated by renowned scientists, these operations create a deceptive facade of prestige designed to trap early-career researchers, graduate students, and authors under institutional publication mandates. Unsuspecting scholars who submit genuine manuscripts to these venues lose both their publication fees and their work to unindexed, unpreserved repositories that fail minimum standards of scholarly archiving.
Protective actions for researchers and university research offices
The emergence of AI-generated identity-theft publishing requires coordinated countermeasures from both individual researchers and institutional research offices:
- ORCID security and trusted party settings: Scholars should review their ORCID record permissions, disabling open third-party write access and configuring trusted-organization controls so that unauthorized entities cannot automatically assert works or affiliations on their persistent records.
- Google Scholar profile curation: Researchers should change their Google Scholar profile configuration from automatic article additions to manual review (“Don’t automatically add articles to my profile; email me to review and add them”), auditing attributed papers regularly to remove mistakenly linked slop manuscripts.
- Institutional integrity escalation: University research offices, research integrity officers, and scholarly communication librarians should establish rapid-intake channels for faculty reporting unauthorized bylines. Institutions can apply standard COPE flowcharts to structure formal complaints and collaborate across international networks using NISO CREC communication practices.
- Registrar and indexer takedowns: When predatory journals refuse retraction or cycle author names, institutional legal and library teams should issue formal copyright and impersonation complaints directly to domain registrars, hosting infrastructure providers, and indexers to remove fraudulent records at the root.
Sources
- Inside Higher Ed: AI-Generated Slop Papers Published Under Prominent Academics’ Names (published 2026-11-13, checked 2026-11-14).
- Times Higher Education: Predatory journals publish AI slop under top academics’ names (published 2026-11-13, checked 2026-11-14).
