Exploring temporal and cross-national patterns: The use of generative AI in science-related information retrieval across seven countries

Esther Greussing, Lars Guenther, Ayelet Baram-Tsabari, Shakked Dabran-Zivan, Evelyn Jonas, Inbal Klein-Avraham, Monika Taddicken, Torben Esbo Agergaard, Becca Beets, Dominique Brossard, Anwesha Chakraborty, Antoinette Fage-Butler, Chun Ju Huang, Siddharth Kankaria, Yin Yueh Lo, Lindsey Middleton, Kristian H. Nielsen, Michelle Riedlinger, Hyunjin Song

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study explores the role of ChatGPT in science-related information retrieval, building on research conducted in 2023. Drawing on online survey data from seven countries — Australia, Denmark, Germany, Israel, South Korea, Taiwan, and the United States — and two data collection points (2023 and 2024), the study highlights ChatGPT's growing role as an information intermediary, reflecting the rapid diffusion of generative AI (GenAI). While GenAI adoption is a global phenomenon, distinct regional variations emerge in the use of ChatGPT for science-related searches. Additionally, the study finds that a specific subset of the population is more likely to use ChatGPT for science-related information retrieval. Across all countries surveyed, science-information seekers report higher levels of trust in GenAI compared to non-users. They also exhibit a stronger understanding of how (Gen)AI works and, with some notable exceptions, show greater awareness of its epistemic limitations.

Original languageEnglish
Pages (from-to)A05-A05
JournalJournal of Science Communication
Volume24
Issue number2
DOIs
Publication statusPublished - 2025

Bibliographical note

Publisher Copyright:
© (2025), (International School for Advance Studies). All rights reserved.

All Science Journal Classification (ASJC) codes

  • Communication

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