Abstract
This study explores how international audiences perceive AI-generated English-speaking news anchors deployed to promote Chinese local culture. Framed within the Human-Machine Communication (HMC) paradigm and enriched by ritual communication theory, the research assesses the role of AI anchors in cultural mediation. Using Q methodology with a diverse sample of 20 participants, the analysis revealed three distinct attitudinal clusters: AI skeptics, collaboration realists, and cost-effectiveness prioritizers. While participants acknowledged AI’s technical advantages - such as consistent pronunciation and precise articulation - they expressed hesitation about forming emotional or parasocial bonds with these synthetic presenters. Notably, concerns emerged about AI’s ability to sustain the symbolic and affective rituals essential to meaningful cross-cultural communication. Collaboration realists advocated for hybrid human–AI approaches, whereas cost-effectiveness prioritizers emphasized AI’s operational efficiencies. Collectively, the findings highlight that deploying AI in cross-cultural settings involves more than technological capability - it actively reconfigures the nature of communicative agency.
| Original language | English |
|---|---|
| Pages (from-to) | 56-80 |
| Journal | Media and Intercultural Communication: A Multidisciplinary Journal |
| Volume | 4 |
| Issue number | 1 |
| Early online date | 1 Nov 2025 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Bibliographical note
We sincerely thank all participants and interviewees for their time and perspective, and the reviewers and editors for their constructive feedback, which significantly improved this work. Special thanks go to Rui Du (KU Leuven) and Yao Yao (Xi’an Jiaotong University & The Hong Kong Polytechnic University) for their invaluable assistance in contacting participants.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- AI news anchors
- cross-cultural communication
- audience perception
- Human-Machine Communication
- Q methodology
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