Hundreds of suspicious magazines that have been marked by the artificial intelligence examination tool

The researchers have identified more than 1,000 open magazines that are likely to have a problem using an artificial intelligence tool (AI) that has examined about 15,000 titles for signs of doubtful publishing practices.

The approach, described in Science progress On August 27¹It can be used to help address the height in what the authors of the study calls “open-minded magazines”-that which receives fees to publish the papers without having a strict counterpart or high-quality checks.

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None of the magazines that were marked by the tool previously were on any type of monitoring menu, and some addresses owned by the great reputable publishers. Together, the magazines have published hundreds of thousands of research papers that received millions of categories.

The study indicates that “there is a full set of problematic magazines in the sight of magazines that work as respectable magazines that are not really worth this qualification,” says Jennifer Bern, a research river and cancer researcher at Sydney University, Australia.

The tool is Available online In a closed experimental version, organizations that magazines, or publishers can use to use to review their portfolios, says the study author Daniel Akoyana, the computer world at Colorado Bulder. But he adds that artificial intelligence makes mistakes at times, and is not designed to replace the detailed assessments of individual magazines and publications that may lead to removing the title from an index. “The human expert should be part of the audit process” before taking any action, “he says.

Magazine examination

The artificial intelligence tool can analyze a large amount of information from the web sites and the papers it publishes, and the search for red flags-as short times to publish articles and high rates of self-martyrdom. It also evaluates whether members of the magazine’s editor -in -chief belong to well -known research institutions, and are achieved from the extent to which transparent publications are repeated about licensing and fees. Many criteria used to train the tool come from the best directives developed by Journals Open Access (DOAJ), which is the open magazine index managed by the non -profit Doaj Foundation in Roskilde, Denmark.

Cenyu Shen, Vice President of Liberation Quality, who is based in Helsinki, says that the number of problematic magazines rises, and that “their tactics have become more advanced.” “We are monitoring more cases where the questionable publishers acquire legitimate magazines, or where paper factories buy magazines to spread low -quality works.” (Paper factories are companies that sell fake papers and authorship.)

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Mostlyly, the DOAJ’s quality verification operations are performed in the magazines only after receiving complaints. In 2024, the guide achieved 473 magazines, an increase of 40 % compared to 2021. “The time when our team spends these investigations also has grown 30 % to 837 hours,” says Sheen.

Artificial intelligence tools can help accelerate some of these assessments, says acuña. He and his colleagues trained their model on 12,869 magazines currently indexed in Doaj as legitimate, as well as 2536 that the evidence has placed as violating quality standards.

When the researchers asked artificial intelligence 15191 an open access magazine listed in the unpaywall general database, 1,437 has set questionable magazine. The team estimated that about 345 of these were accidentally marked: it included suspended titles, a series of books and magazines from young educated publishers. The researchers also found that the tool had failed to report 1782 questionable magazines, based on error rates.