Integrity under pressure: on generative AI, fabricated references and ethical publishing

Abstract

Generative artificial intelligence (AI) tools are increasingly present in academic writing workflows, and their irresponsible use poses a growing threat to the integrity of scholarly publishing. In this editorial, we highlight the emergence of AI-generated references, or so-called “ghost references”, as a specific concern for JCOM and the wider academic community. We consider how AI tools like large language models can produce convincing yet fictitious citations that might bypass standard peer review. Also, we reaffirm JCOM's policy requiring full disclosure of any generative AI use in preparing manuscripts, remind authors that the responsibility for accuracy and integrity lies with those whose names appear on submissions, and outline our commitment to reject, withdraw, or retract manuscripts found to contain fabricated content at any stage of the publication process. As a journal dedicated to science communication, JCOM maintains a strong focus on the honest and transparent development of knowledge.

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