Abstract:

[Purposes] It holds significant implications for the construction of scientific research integrity in the new era to clarify the internal relationship between generative artificial intelligence (GenAI) and predatory journals. [Methods] Based on literature review, online research, and logical analysis, this paper summarizes the behavior patterns and characteristic identification of predatory journals under the influence of GenAI. [Findings] In the academic publishing process, predatory journals exhibit three behavior patterns: low-quality content in academic creation, forged peer review in academic evaluation, and citation fraud in academic dissemination. Based on these patterns, this paper explores the technical application for predatory journals from four aspects: detecting predatory content, analyzing behavioral warnings, monitoring citation manipulations, and providing knowledge-based Q&A regarding predatory practices. [Conclusions] Identifying journal behavior patterns, enhancing technical detection and application, improving institutional frameworks, and strengthening multinational collaboration are important governance paths for predatory journals in the GenAI era.

Key words: Generative artificial intelligence, Predatory journals, Research integrity, Academic misconduct

摘要：

【目的】厘清生成式人工智能和掠夺性期刊两者的内在关联,对新时期的科研诚信建设意义重大。【方法】基于文献阅读、网络调研和逻辑分析法,对生成式人工智能背景下掠夺性期刊的行为模式和特征识别进行总结。【结果】在学术出版流程中,掠夺性期刊表现出学术创造的低质内容、学术评议的伪造审稿、学术传播的引用欺诈3种行为模式;基于行为模式,从掠夺内容的检测识别、掠夺行为的预警分析、掠夺引用的追踪监测、掠夺知识的答疑解惑4个方面对掠夺性期刊的技术应用进行实践探讨。【结论】生成式人工智能背景下掠夺性期刊的重要治理路径包括挖掘期刊行为模式、升级技术检测与应用、健全理念制度、完善跨国协同4个方面。

关键词: 生成式人工智能, 掠夺性期刊, 科研诚信, 学术不端