Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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News Data Analysis and Social Science Research on Intangible Cultural Heritage Canton Embroidery

Authors
Bifeng Wang1, Tianci He2, *, Qian Liu2, *
1Guangzhou Academy of Fine Arts, Guangzhou, 510006, China
2School of Journalism and Communication, Jinan University, Guangzhou, 510632, China
*Corresponding author. Email: hetianci0912@163.com
*Corresponding author. Email: tsusanliu@jnu.edu.cn
Corresponding Authors
Tianci He, Qian Liu
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_30How to use a DOI?
Keywords
LDA topic modeling; Intangible cultural heritage; Canton embroidery
Abstract

Big data analysis methods have been widely applied in social science research, and the public knowledge and practice of intangible cultural heritage (ICH) protection are greatly influenced by media reports. This paper takes Canton embroidery, an ICH treasure in Southern Chinese, as the research object, and obtains 1,161 related news reports from Wisers News Database. Through the analysis of LDA topic modeling, it is found that the media’s attention to Canton embroidery focuses on 4 themes: the protection, inheritance, and development of Canton embroidery; the creation of Canton embroidery and its artistic characteristics; Canton embroidery to the world; and the related exhibition activities of Canton embroidery. Then, it sorts out the inheritance and communication situation of Canton embroidery in the aspects of artistic characteristics, industrial development, talent training, exhibition and publicity, and global communication. Finally, in view of the new development tendency of Canton embroidery, the paper puts forward some suggestions of using modernization and digital means to better disseminate it.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_30How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bifeng Wang
AU  - Tianci He
AU  - Qian Liu
PY  - 2023
DA  - 2023/10/27
TI  - News Data Analysis and Social Science Research on Intangible Cultural Heritage Canton Embroidery
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 286
EP  - 293
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_30
DO  - 10.2991/978-94-6463-276-7_30
ID  - Wang2023
ER  -