Filter by author: Julia Metag

Multimodality in science communication has increased with the rise of digital communication affordances. Digital platforms enable greater integration of modes — text, visuals, and sound — within single messages. We argue that multimodality is particularly crucial for contested scientific issues, where viral spread, emotional persuasiveness, and personalisation are significant. We review empirical evidence and propose future research directions, thereby contributing to science communication in contested environments by examining the role of multimodality.

AI-generated avatars in science communication offer potential for conveying complex information. However, highly realistic avatars may evoke discomfort and diminish trust, a key factor in science communication. Drawing on existing research, we conducted an experiment (n = 491) examining how avatar realism and gender impact trustworthiness (expertise, integrity, and benevolence). Our findings show that higher realism enhances trustworthiness, contradicting the Uncanny Valley effect. Gender effects were dimension-specific, with male avatars rated higher in expertise. Familiarity with AI and institutional trust also shaped trust perceptions. These insights inform the design of AI avatars for effective science communication while maintaining public trust.

The annual conference of the Science Communication Division of the German Communication Association (DGPuK) was held in Zurich, Switzerland, from 5–7 June 2024. The conference attracted around 125 researchers and science communication practitioners from Europe and beyond. In this review, I provide an overview of the conference and discuss some of the challenges for researching AI in science communication as well as for science communication practice.