Communicating Science in the Age of GenAI: Can Generative AI Support the Usage of Higher-Level Science Communication Strategies in Writing?
Year: 2026
Type: article
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.
Source: Science Communication
Authors: Yael Barel-Ben David, Roy Yosef, Elad Segev
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $3,900
Funders: Minerva Foundation, Volkswagen Foundation
Award: G6340830010
OpenAlex ID: W7128537829
