AI tool labels more than 1000 journals for ‘questionable,’ possibly shady practices – New Study
New algorithm could help scientists avoid publishing in shady titles
Summary
A new algorithm could help researchers identify reputable journals and avoid publishing in predatory or questionable outlets. Developed by scientists, the algorithm analyzes various journal characteristics like peer review process, editorial board transparency, and publishing practices, assigning a “trustworthiness score.” This score helps researchers assess the legitimacy of journals, preventing them from unintentionally contributing to predatory publishers. The tool aims to combat the proliferation of fake journals and protect the integrity of academic research. By providing a readily available assessment, the algorithm empowers researchers to make informed decisions about where to publish their work, ultimately benefiting the entire scientific community.
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