Exploration on Paths of AIGC Cross-cultural Content Production Boosting Cultural Export of Consumer Goods from the Perspective of Media Emotional Economy

Authors

  • Mintao Ye School of Professional Studies, New York University, New York, USA

DOI:

https://doi.org/10.54097/821zew19

Keywords:

Media Sentiment Economy; AIGC; Cross-cultural content production; Consumer goods; Culture export.

Abstract

Digital media has comprehensively penetrated global consumer scenarios. The core driving logic behind cross-border consumption is undergoing a structural transformation. Product functionality and basic quality are no longer the primary decision-making criteria for overseas consumers. Emotional experiences, cultural awareness, and other emotional values have become central evaluation dimensions in cross-border consumption. The traditional model of foreign trade relying on product hardware advantages to capture markets can no longer align with the overall trend of globalized consumption upgrading. Overseas consumer preferences continue to evolve. Beyond practical needs, soft demands such as aesthetic experience, cultural identity, and emotional fulfillment are increasingly shaping choices in domestic brand consumption. China's consumer goods export trade volume has been expanding year by year. However, the corresponding cross-border cultural communication system remains unevenly developed and inconsistent in quality. The depth, breadth, and quality of cultural exports lag significantly behind the growth rate of physical product exports. At present, several typical issues plague the cross-border dissemination of Chinese brands: superficial cultural interpretation, insufficient original content reserves, lack of localization adaptation systems, and weak emotional connections with users. These problems are widespread. The losses incurred by cross-border communication due to cultural differences remain inadequately mitigated. Based on the theoretical framework of media emotion economy and grounded in real-world challenges facing the Chinese brand globalization industry, this paper explores the application value and implementation models of AIGC in cross-cultural content production. It identifies various industry issues arising from intelligent technology applications, including misinterpretations of culture, chaotic traffic competition, and copyright compliance gaps. Drawing on current industry conditions, targeted optimization pathways and governance strategies are proposed. This paper distills an intelligent overseas operation model tailored for small and medium-sized domestic brands. This model effectively addresses structural shortcomings in traditional cross-border communication. It enables Chinese products to transcend the limitations of single commodity export, facilitating the routine and refined penetration of Chinese aesthetics and local lifestyle culture into international markets.

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References

[1] Khoi, M. N., Phan, T. M., Tran, Y. N. N., Nguyen, A. T., & Nguyen, T. L. N. (2026). Evaluating the efficacy of AI-generated advertising: A cross-national analysis of customer responses on brand perceptions and customer engagement with evidence from Vietnam and Australia. Journal of Global Scholars of Marketing Science, 36(2), 293–341. https://doi.org/10.1080/21639159.2026.2617659.

[2] Zhang, F., Chen, C., Zhu, L., & Zhang, F. (2025). Exploring consumer responses to AI-generated visual marketing content: A dual-process theory perspective. International Journal of Consumer Studies, 49(5). https://doi.org/10.1111/ijcs.70121

[3] Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of Marketing, 85(1), 131–151. https://doi.org/10.1177/0022242920953847

[4] Campbell, C., & Sands, S. (2026). The paradoxes of generative AI-mediated acculturation. International Marketing Review, 43(1). https://doi.org/10.1108/IMR-10-2025-0569

[5] Arya, S. (2025). Digital luxury: how avatar marketing drives consumer engagement for luxury brands. Asia Pacific Journal of Marketing and Logistics, 37(2).

[6] Israfilzade, K. (2025). AI-generated versus human-created advertising: Effects on consumer trust and purchase intent. Equilibrium. Quarterly Journal of Economics and Economic Policy, 20(4), 1301–1337.

[7] Priporas, C. V., Kamenidou, I., & Kapoulas, A. (2024). AI advertising perceptions across high and low cultural context nations. Journal of International Consumer Marketing, 36(11), 1214–1231. https://doi.org/10.1080/08961530.2024.2371567

[8] Li, Y., & Wang, X. (2024). Ethical risks and governance of generative AI in cross-cultural advertising communication. Digital Creativity, 35(6), 312–327. https://doi.org/10.1080/14626268.2024.2394726

[9] Kim, J., & Park, J. (2024). Generative AI localized marketing prompts for Asian global brands. Asian Journal of Communication, 34(7), 712–729. https://doi.org/10.1080/01292986.2024.2345891

[10] Hwang, Y., & Lee, S. (2024). Effects of AI content disclosure on brand trust in cross-border marketing. Journal of Brand Management, 32(2), 148–162. https://doi.org/10.1057/s41262-024-00456-9

[11] Sanchez, M., & Garcia, L. (2023). Human-AI collaborative advertising creation to reduce cultural discount in global branding. International Journal of Advertising, 42(8), 967–986. https://doi.org/10.1080/02650487.2023.2214782

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Published

13-08-2026

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Section

Articles

How to Cite

Ye, M. (2026). Exploration on Paths of AIGC Cross-cultural Content Production Boosting Cultural Export of Consumer Goods from the Perspective of Media Emotional Economy. International Journal of Education and Social Development, 8(1), 42-47. https://doi.org/10.54097/821zew19