Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts

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Authors

Huan Chen Affiliation:
Communication University of China, Nanjing, Jiangsu, 210000, China.


Abstract

The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture mapping and small texture mapping techniques to optimize the texture display on the surface of the 3D model. The coordinate system transformation of computer graphics further enhances the fidelity of the virtual environment. In addition, this study analyzes the information diffusion pattern in the network and real space based on the information space model. The empirical analysis shows that the spread of new media art in the virtual communication space has been significantly enhanced, especially in expressing individual and collective emotions, contemporary media art has obvious advantages compared with traditional art. The information dissemination analysis confirms the accuracy of the information diffusion model in predicting the communication trend of contemporary media art, and the negative sentiment index of modern media art is lower than that of traditional art between 2016 and 2023, showing a more positive emotional communication pattern. This study shows that artificial intelligence technology can effectively promote the communication and dissemination of new media art. Through the construction of virtual space and the application of information diffusion model, contemporary media art is not only improved in communication efficiency and dynamics.


Keywords

Virtual space, Texture mapping, Coordinate system transformation, Information diffusion, New media art, 68M11


Citation

Chen, H. (2024). Artificial intelligence technology empowers communication and dissemination of new media arts. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0354

Published by: Engineering Journals

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