Artificial Intelligence Tools to Enhance Scholarly Communication: An Exploration Based on A Systematic Review

Abstract

Artificial intelligence (AI) has the potential to enhance scholarly communication by simplifying procedures, giving better results, and opening fresh possibilities for research and accessibility of scholarly materials. This study is aimed at exploring AI tools in the field of scholarly communication. This review-based research aims to examine how AI could be applied to improve many areas of scholarly communication, such as literature search, writing and editing, reference, and citation, etc. The study adopted a systematic literature review method to scan the literature in AI in scholarly communication using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. The review disclosed a range of AI tools that can improve different aspects of scholarly communication, like Citation and reference management tools (Sciwheel, scite.ai, Wizdom.ai, Mendeley, CoCites, Connected Papers, EndNote, RefWorks, Zotero, PaperPile, Citation Gecko, SciRef, CiteULike, JabRef, Citavi.), Paraphrasing tool (QuillBot), and Literature search tools (RobotSearch, Iris, Scite, Clara, META, Scholaecy, Omnity, COVIDScholar, Dimensions, Yewno, Sparrho, Source Data, Semantic Scholar,.Humata.AI, Typeset IO) etc. Further, a dichotomous discourse was seen from the review among the researchers regarding the ethical issues related to the use of AI in scholarly communication.