ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Human-Media Interaction
Volume 7 - 2025 | doi: 10.3389/fcomp.2025.1565869
Studying the Impact of Emotion-AI in Cross-Cultural Communication on the Effectiveness of Global Media
Provisionally accepted
- Communication University of China, Beijing, China
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Introduction: Emotion-AI, which integrates artificial intelligence in recognizing and processing emotions, holds significant potential in enhancing cross-cultural communication, particularly in global media contexts. This study investigates the impact of emotion-AI on global media communication, focusing on its role in bridging cultural gaps, fostering emotional connections, and improving cross-cultural understanding. Method: A descriptive cross-sectional survey using structured questionnaires collected data from 1,108 global media consumers. Fuzzy-set qualitative comparative analysis (fsQCA) assessed participants’ media-related emotion-AI experiences, perceptions, and reactions. Result: Emotion-AI’s capacity to deepen emotional relationships (62.1%) and respect for cultural diversity (62.7%) is well-known and appreciated. However, there are still many people who are worried about emotions being oversimplified (34.7%), which shows that technology cannot handle nuanced cultural manifestations of emotion just yet. Also, many look forward to seeing emotion-AI improve in the future, especially when it comes to fixing its present problems. With a solution coverage of 93% and consistency of 81%, the analysis further shows that positive experiences and perceptions are needed to create pleasant reactions. This highlights the crucial relevance of cultural adaptability and emotional accuracy in global media environments. Discussion: This study sheds light on emotion-AI’s involvement in cross-cultural communication and global media efficacy, affecting system development and content integration. Emotion-AI could improve global communication by recognizing cultural differences and encouraging cultural tolerance.
Keywords: Emotion-AI, cross-cultural communication, global media, Fuzzy-set qualitative comparative analysis, Cultural adaptability, Emotional accuracy
Received: 15 May 2025; Accepted: 17 Jul 2025.
Copyright: © 2025 Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Fangni Li, Communication University of China, Beijing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.