An Exploration of AI Aid to the First Review of Academic Journals

DOI: https://doi.org/10.62517/jnme.202410317

Author(s)

Yanqing Jiang

Affiliation(s)

Sichuan Journal of Communication and Information Technology, Co, Ltd., Chengdu, Sichuan, China

Abstract

This article delves into the current landscape of the first review in academic journals, highlighting prevailing challenges. Employing literature analysis approach, it synthesizes and scrutinizes pertinent research on Artificial Intelligence (AI) within the editing and publishing domain. Furthermore, it investigates AI's potential impact on the first review phase. Leveraging AI's extensive database and advanced learning capabilities, it indicates that artificial intelligence can help evaluate the novelty of manuscripts, standardize formatting, recommend expert reviewers, and cultivate more objective opinions. These advancements hold promise for enhancing the quality of manuscripts published in academic journals.

Keywords

First Review; Artificial Intelligence (AI); Big Data; Advanced Learning Capabilities; Review Patterns

References

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