ORCID: https://orcid.org/0000-0001-8655-5119; Guenther, Lars ORCID: https://orcid.org/0000-0001-7760-0416; Baram-Tsabari, Ayelet ORCID: https://orcid.org/0000-0002-8123-5519; Dabran-Zivan, Shakked; Jonas, Evelyn ORCID: https://orcid.org/0009-0006-1942-4622; Klein-Avraham, Inbal ORCID: https://orcid.org/0000-0002-2642-5686; Taddicken, Monika ORCID: https://orcid.org/0000-0001-6505-3005; Agergaard, Torben Esbo; Beets, Becca ORCID: https://orcid.org/0000-0002-3323-1281; Brossard, Dominique ORCID: https://orcid.org/0000-0002-9188-8388; Chakraborty, Anwesha ORCID: https://orcid.org/0000-0002-1681-870X; Fage-Butler, Antoinette ORCID: https://orcid.org/0000-0002-4849-0227; Huang, Chun-Ju ORCID: https://orcid.org/0000-0002-1879-2646; Kankaria, Siddharth ORCID: https://orcid.org/0000-0001-9498-2145; Lo, Yin-Yueh ORCID: https://orcid.org/0009-0007-7436-5415; Middleton, Lindsey ORCID: https://orcid.org/0000-0001-9251-2676; Nielsen, Kristian H. ORCID: https://orcid.org/0000-0002-6192-400X; Riedlinger, Michelle ORCID: https://orcid.org/0000-0003-4402-4824 und Song, Hyunjin ORCID: https://orcid.org/0000-0001-7752-3035
(2025):
Exploring temporal and cross-national patterns: The use of generative AI in science-related information retrieval across seven countries.
In: Journal of Science Communication, Bd. 24, Nr. 02
[PDF, 211kB]
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.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Keywords: | AI tools in science communication; Digital science communication; Public engagement with science and technology |
| Fakultät: | Sozialwissenschaften > Institut für Kommunikationswissenschaft und Medienforschung (IfKW) |
| Themengebiete: | 300 Sozialwissenschaften > 380 Handel, Kommunikation, Verkehr |
| URN: | urn:nbn:de:bvb:19-epub-131698-5 |
| ISSN: | 1824-2049 |
| Sprache: | Englisch |
| Dokumenten ID: | 131698 |
| Datum der Veröffentlichung auf Open Access LMU: | 26. Jan. 2026 08:37 |
| Letzte Änderungen: | 26. Jan. 2026 08:37 |
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