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Analysis of Cross-Cultural Communication from the Angle of Ecological Information Construction

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

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Abstract

This paper attempts to analyze and explore the contradictions and conflicts between a culture and a social system in cross-culture communication by applying fundamentals and knowledge of communication ecology. It sorts out and sums up ecological laws in cross-culture communication with interpretation function and thereby proposes the target of building an ecological view in cross-culture communication. To explore and analyze cross-culture communication from the perspective of ecology is to study the relation between cross-culture communication activities and social environment at home and abroad by virtue of relevant theories concerning ecology. To cut in the angle of ecology is firstly a new perspective and a consideration to the process and relation of cross-culture communication media, information and cross-culture activities proceeding from the hypothesis of life organism. In mass communication ecology, communication ecology is a cross realm to conduct a comprehensive study of communication together with ecology, economics, sociology and other relevant subjects. Meanwhile, it has shown its unique value on the stage of world culture and formed a new order of open, free, balanced and multiple culture communication.

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Acknowledgements

Fund Program: The paper is one of the results of the Anhui Provincial Quality Project; Code: 2016MOOC152 and this research is supported by Teaching Quality Project of Anhui Provincial Department Education (project number: 2018MOOC097).

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Correspondence to Rui Dai .

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Dai, R. (2021). Analysis of Cross-Cultural Communication from the Angle of Ecological Information Construction. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_54

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