Document Type
Article
Publication Date
10-2024
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 Publication Citation
Gardner Archambault, S., & Rincón, J. (2024). An Evaluation of Cutting-Edge AI Research Tools Using the REACT Framework. Computers in Libraries, 44(8), 4-11. https://www.infotoday.com/cilmag/oct24/Archambault-Rincon--An-Evaluation-of-Cutting-Edge-AI-Research-Tools-Using-the-REACT-Framework.shtml#Tables
Digital Commons @ LMU & LLS Citation
Gardner Archambault, Susan and Rincón, Jose, "An Evaluation of Cutting-Edge AI Research Tools Using the REACT Framework" (2024). Librarian Publications & Presentations. 153.
https://digitalcommons.lmu.edu/librarian_pubs/153
