AI-powered language editing and manuscript reviewing tools
Kudzayi Savious Tarisayi
Chapter 10 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 191-199 from Edward Elgar Publishing
Abstract:
This chapter examines the integration of artificial intelligence (AI) in enhancing academic writing and peer review through advanced language editing and manuscript review tools. Focusing on Grammarly, Writefull, and ReviewerThree, it explores their roles in improving linguistic precision, supporting discipline-specific language use, and automating unbiased manuscript evaluations. The analysis highlights how these AI platforms enhance clarity, professionalism, and efficiency in scholarly communication while maintaining quality standards. Emphasizing the complementary relationship between human expertise and AI, the chapter advocates for the strategic adoption of these tools to streamline publication processes and reduce linguistic barriers. This work contributes to the evolving discourse on AI-augmented research methodologies, underscoring AI's transformative potential in reshaping academic writing and peer review.
Keywords: AI-augmented research methodology; Academic writing enhancement; Language editing tools; Grammarly; Writefull; ReviewerThree; AI-powered peer review (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781049408330.00015 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:25915_10
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().