Vol. 10 No. 2 (2025): Journal of New Librarianship
Peer Reviewed Articles

Your Information ZODIAC: An Information Evaluation Framework for the Age of Generative AI

Kevin Reagan
Georgia Southern University
Kay Coates
Georgia Southern University
Jessica Swaringen
Georgia Southern University

Published 2025-12-09

How to Cite

Reagan, K., Coates, K. ., & Swaringen, J. (2025). Your Information ZODIAC: An Information Evaluation Framework for the Age of Generative AI. Journal of New Librarianship, 10(2), 94–109. https://doi.org/10.33011/newlibs/19/9

Abstract

Building on information evaluation mnemonics like the CRAAP Test, SIFT, and ACT UP, among others, the authors propose the ZODIAC of information evaluation for an AI-dominated information environment: Zooming in, Other opinions, Dataset, Intent, Authenticity, and Consistency. Each letter introduces students to considerations unique to the critical thinking considerations of AI-generated information, such as datasets and their large language models, evaluating the purpose of a given generative AI, and questioning the authenticity and consistency of generative AI output. Additionally, as an introductory framework geared toward first-year students, the ZODIAC evaluation method does not fully address all aspects of information literacy; social and environmental aspects of AI literacy are noticeably absent. Accordingly, the authors address social and environmental considerations in the discussion, which serves to inspire other information and AI literacy professionals to build a more holistic framework of evaluating AI-generated information.