International Journal of Management Research and Economics
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Volume 1, Issue S1, April 2024 | |
Research PaperOpenAccess | |
Using Baidu Index to Track Online Interest in Ethnic Dance |
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1Associate Professor, Department of Dance, School of Music, Southwest University, China. E-mail: 308023790@qq.com
*Corresponding Author | |
Afr.J.Humanit.&Soc.Sci. 1(S1) (2024) S30-S37, DOI: https://doi.org/10.51483/AFJHSS.1.S1.2024.S30-S37 | |
Received: 21/12/2023|Accepted: 10/03/2024|Published: 05/04/2024 |
This study, leveraging Baidu Index data, delves into the trend analysis of online interest to ethnic dance, comparisons of interest across different regions, and changes in interest during specific periods. The findings reveal that factors such as dance performance events, social incidents, media dissemination, government policies, online platforms, and educational and cultural policies significantly impact the attention towards ethnic dance. Specific periods, like holidays, sudden events, and major competitions or performances, also trigger notable fluctuations in interest towards ethnic dance. A comprehensive analysis of these factors offers a deeper understanding of the changes in online interest towards ethnic dance and provides a scientific basis for the formulation of related policies and promotion strategies. This research holds implications for promoting the dissemination and development of ethnic dance, as well as advancing cultural arts research and cross-cultural exchanges.
Keywords: Ethnic dance, Online interest, Baidu index, Dance performance events
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