Inheritance and Development of National Traditional Sports Culture in the Context of Big Data -- Take TikTok as an example
- https://doi.org/10.2991/aebmr.k.220307.534How to use a DOI?
- Big Date; Ethnic Traditional Sports Culture; Inheritance and Development; TikTok
With the continuous progress of human society, information technology is also becoming more and more mature, and mobile Internet communication technology has been more popular. Big data is also born, and it is ubiquitous rooted in every aspect of human activities. It has changed people’s original living habits and consumption concepts. Also it can accurately provide accurate big data to support your life services, making it easier and faster for people to study, travel, and shop. For example, TikTok, which can accurately push your favorite video types and push your favorite shopping live through big data, making your life rich and colorful. Many excellent traditional national sports culture can be pushed to different people in the TikTok with the analysis of big data, which promotes the spread and development of traditional national sports culture, thus providing path options for the scientific development of traditional national sports culture in the new era. Of course, there are some confusions in the process of rapid dissemination, such as the increasing commercialization of traditional ethnic sports, which often neglects the dissemination of its own cultural values, the increased entertainment of traditional ethnic sports, and the neglect of its traditional sports essence.
- © 2022 The Authors. Published by Atlantis Press International B.V.
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Cite this article
TY - CONF AU - Yang Li AU - Ting Yuan AU - Jingjing Chen PY - 2022 DA - 2022/03/26 TI - Inheritance and Development of National Traditional Sports Culture in the Context of Big Data -- Take TikTok as an example BT - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) PB - Atlantis Press SP - 3249 EP - 3252 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220307.534 DO - https://doi.org/10.2991/aebmr.k.220307.534 ID - Li2022 ER -