Paper
11 July 2024 Application of blockchain operation spread by new media in screening effective popular science information of traditional Chinese medicine
Fangjiang Zheng, Rongsha Yang, Jian Tian, Yingjie An, Xiufang Xue
Author Affiliations +
Abstract
Today, with efficient information dissemination and free interaction, digital+network has almost become the main channel for cultural transmission. The literary creation and dissemination of Chinese medicine culture has a relatively broad influence in modern society. This paper aimed to study how to analyze and study the popular science information of TCM (Traditional Chinese medicine) based on the block-chain operation of new media communication. It also described the new media block-chain information filtering method. This paper took the documentary “the Tale of Chinese Medicine” as an example to analyze its dissemination in the new media. Through the analysis of the gender and age distribution of the people concerned during the whole broadcast period, this paper found that the focus group was mainly 20~49 years old, reaching 96.00%, which was the main audience group of the new media communication of “the Tale of Chinese Medicine”. Among them, the audience aged 30-39 accounted for 51.00% of the total audience, which was closely related to social perspective and health preservation. The inevitability of TCM culture inheritance is due to the demand of TCM culture inheritance on the one hand, and the unique role of national cohesion on the other hand. Chinese medicine culture is a unique culture of China, which has special significance for the Chinese people of all ethnic groups.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fangjiang Zheng, Rongsha Yang, Jian Tian, Yingjie An, and Xiufang Xue "Application of blockchain operation spread by new media in screening effective popular science information of traditional Chinese medicine", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321017 (11 July 2024); https://doi.org/10.1117/12.3034924
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KEYWORDS
Medicine

Information science

Surgery

Biomedical applications

Databases

Telecommunications

Blockchain

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