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Optimizing Content and Audience Reach for Shaanxi Competitive Sports’ International Communication in the Algorithmic Era

Author(s)

Jiale He

Affiliation(s)

Xijing University, Xi’an, Shaanxi, China

Abstract

Under algorithmic communication, the international dissemination of Shaanxi competitive sports can be reconceptualized as a technology-mediated intercultural learning process, where content optimization and audience reach are driven by machine recommendation mechanisms and grounded in educational psychology principles. This study aims to construct a theoretically grounded strategic framework for enhancing the global visibility and cultural resonance of Shaanxi competitive sports within algorithm-dominated digital ecosystems. Drawing upon media affordance theory, educational psychology, and technology-enhanced learning environments, the paper develops an integrated “technology–psychology–culture” model. The proposed content optimization strategies emphasize cultural symbol adaptation, short-video multimodal encoding, generative engine optimization, and affective algorithmic narratives. Audience reach strategies focus on platform-differentiated matrices, psychological segmentation, cross-cultural localization, and community cultivation. The framework contributes to both the theoretical understanding of algorithmic sports communication and the practical advancement of place-based sports internationalization. Implications for educational technology and cross-cultural psychology are discussed.

Keywords

Algorithmic Communication; Shaanxi Competitive Sports; International Dissemination; Content Optimization; Educational Technology; Cross-Cultural Psychology.

References

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