An Evaluation of Cutting-Edge AI Research Tools Using the REACT Framework

Research output: Contribution to specialist publicationArticle

Abstract

As AI continues to revolutionize academic research, librarians must stay informed about the latest AI-powered tools and their potential applications. This article explores a range of cutting-edge AI research tools, evaluating their key features, benefits, and drawbacks using the REACT framework (Relevancy, Ease of Use, Assessing DEIA [diversity, equity, inclusion, and accessibility], Currency, Transparency & Accuracy). We focus on two categories of tools: citation-based literature mapping tools and text-extraction tools for literature reviews. The citation mapping tools are Litmaps, Connected Papers, and ResearchRabbit, which help researchers discover and visualize related academic literature. The text-extraction tools—Elicit, scite, and Consensus—assist in finding, summarizing, and analyzing relevant papers.
Original languageEnglish
Pages4-11
Number of pages8
Volume44
No8
Specialist publicationComputers in Libraries
StatePublished - Oct 2024

ASJC Scopus Subject Areas

  • General Computer Science
  • Library and Information Sciences

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