Work

Review Articles, Generative AI and the Remaking of Scholarly Infrastructure

Year: 2026

Type: article

Abstract: Key Points GenAI exposes structural weaknesses in descriptive, template‐driven review formats. arXiv and AI‐native preprint platforms illustrate divergent infrastructural responses to AI‐generated content. Review articles function as knowledge infrastructure, not merely as summaries of prior work. Reflexive, agenda‐setting reviews remain resistant to automation and retain high editorial value. The future of review articles lies in function and interpretation, not volume or exhaustiveness.

Source: Learned Publishing

DOI: 10.1002/leap.2045

Authors: Serhii Nazarovets, Yana Suchikova

Institutions: Borys Grinchenko Kyiv Metropolitan University, Berdyansk State Pedagogical University

Language: English

Topic: Publishing and Scholarly Communication

Subfield: History and Philosophy of Science

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,080

OpenAlex ID: W7127939571

FWCI: 8.851

Cites: 30

Cited by: 1

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