Communicating Science in the Age of GenAI: Can Generative AI Support the Usage of Higher-Level Science Communication Strategies in Writing?
Abstract
Effective science communication (SciComm) is crucial, but training scalability remains challenging. We explored whether generative AI (GenAI) could provide feedback to enhance SciComm strategies. In an online iterative distillation exercise, SciComm trainees ( N = 78) condensed their research. An experimental group ( n = 41) received jargon-oriented and GenAI feedback; controls ( n = 37) received only jargon feedback. Participants preferred revised texts, with slightly higher preference in the GenAI group. SciComm-based rubric assessment revealed GenAI-supported texts significantly improved in SciComm strategies, particularly connecting science to everyday life and narrative use. Findings highlight GenAI’s potential to enhance SciComm content and scalable feedback, supporting its careful integration into training.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Climate Change Communication and Perception
Computational and Text Analysis Methods
Publication details
- Journal / source
- Science Communication
- Publisher
- SAGE Publications
- Volume
- 48
- Issue
- 3
- Pages
- 438–464
- Publication date
- 9 February 2026
- Language
- EN