All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence

Artificial Intelligence (AI) is profoundly reshaping the field of science communication research. We conducted a literature review of 35 articles published between 2002 and 2024, which reveals that research on AI in science communication is still in its infancy but growing, predominantly concentrated in Western contexts, and methodologically inclined toward quantitative approaches. The field largely focuses on communication about AI and public perceptions of AI rather than analyzing actual engagement with generative AI or its systemic impact on science communication ecosystems. To address these gaps, we propose a research agenda centered on four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2025-04-14
DOI
https://doi.org/10.5167/uzh-278782
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
0.00
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article

All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence

Zurich Open Repository and Archive (University of Zurich)
Climate Change Communication and Perception
article

All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence

article en

Abstract

Artificial Intelligence (AI) is profoundly reshaping the field of science communication research. We conducted a literature review of 35 articles published between 2002 and 2024, which reveals that research on AI in science communication is still in its infancy but growing, predominantly concentrated in Western contexts, and methodologically inclined toward quantitative approaches. The field largely focuses on communication about AI and public perceptions of AI rather than analyzing actual engagement with generative AI or its systemic impact on science communication ecosystems. To address these gaps, we propose a research agenda centered on four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches.

Zurich Open Repository and Archive (University of Zurich)
Openalex Percentile: Top 42%
Climate Change Communication and Perception
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