Digital Trategies for Breaking Barriers: How Promoters Drive Engagement with Intangible Cultural Heritage among Diverse Consumer Groups

Authors

  • Mengfan Li School of Journalism and Information Communication, Huazhong University of Science and Technology, Wuhan, China Author

DOI:

https://doi.org/10.63313/LLCS.9130

Keywords:

Intangible cultural heritage, information interaction, information islands, social network analysis, reach obstacle

Abstract

With the rise of social media, more and more intangible cultural heritage pro-moters use the network to spread intangible cultural heritage, but the scope of accessible consumer groups is gradually limited. This study innovatively focuses on the information interaction network between “promoters”in social media. For the first time, it is found that the key reason for the poor promotion effect of intangible cultural heritage on Weibo is the lack of cooperation among promoters, so as to form an information islands. By analyzing the information interaction network between promoters, it is found that the key to expand the coverage of intangible cultural heritage to play the leading role of high-impact bloggers and break the barriers of small groups. This study provides a feasible path with net-work collaborative optimization as the core for the promotion of digital business in intangible cultural heritage and other fields.

References

[1] Van Dijck, J., & Poell, T. (2013). Understanding social media logic. Media and communication, 1(1), 2-14.

[2] Zheng, S. (2023). Safeguarding food heritage through social media? Between heritagization and commercialization. International journal of gastronomy and food science, 31, 100678. https://doi.org/10.1016/j.ijgfs.2023.100678

[3] Zhang, J., & Xu, C. (2024). A grounded theory - based model of information communication in cultural heritage digital reading on the social media from the perspective of the embodied theory. Herit Sci, 12, 208. https://doi.org/10.1186/s40494-024-01313-2

[4] Hughes, C., Swaminathan, V., & Brooks, G. (2019). Driving brand engagement through online social influencers: An empirical investigation of sponsored blogging campaigns. Journal of marketing, 83(5), 78-96.

[5] Qin, Y. S. (2020). Fostering brand–consumer interactions in social media: the role of social media uses and gratifications. Journal of Research in Interactive Marketing, 14(3), 337-354. https://doi.org/10.1108/JRIM-08-2019-0138

[6] Wang, Y., & Li, Y. (2016). Proactive engagement of opinion leaders and organization advocates on social networking sites. International Journal of Strategic Communication, 10(2), 115-132.

[7] Scott, N., Baggio, R., & Cooper, C. (2008). Network analysis and tourism: From theory to practice. https://doi.org/10.21832/9781845410896

[8] Zihao, Z. (2022). Living Inheritance and Dissemination of Intangible Cultural Heritage in the Context of New Media: A Case Study of Yugur Intangible Cultural Heritage. International Journal of Frontiers in Sociology, 4(13). https://doi.org/10.25236/IJFS.2022.041314

[9] Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user-and marketer-generated content. Information systems research, 24(1), 88-107. https://doi.org/10.1287/isre.1120.0469

[10] Uzunoğlu, E., & Kip, S. M. (2014). Brand communication through digital influencers: Leveraging blogger engagement. International journal of information management, 34(5), 592-602. https://doi.org/10.1016/j.ijinfomgt.2014.04.007

[11] Ahajjam, S., El Haddad, M., & Badir, H. (2018). A new scalable leader-community detection approach for community detection in social networks. Social Networks, 54, 41-49. https://doi.org/10.1016/j.socnet.2017.11.004

[12] Rehman, A. U., Jiang, A., Rehman, A., Paul, A., Din, S., & Sadiq, M. T. (2023). Identification and role of opinion leaders in information diffusion for online discussion network. Journal of Ambient Intelligence and Humanized Computing, 1-13. https://doi.org/10.1007/s12652-019-01623-5

[13] Fox, J., & McEwan, B. (2017). Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale. Communication Monographs, 84(3), 298-318.

[14] Zhu, M. (2024). Exploring Influencer Dynamics and Network Resilience: A Deep Dive into Science-Related Subgraph of Twitter Ego Networks. Procedia Computer Science, 242, 280-287. https://doi.org/10.1016/j.procs.2024.08.236

[15] Alsamadani, R., Hallowell, M., & Javernick-Will, A. N. (2013). Measuring and modelling safety communication in small work crews in the US using social network analysis. Construction management and economics, 31(6), 568-579. https://doi.org/10.1080/01446193.2012.685486

[16] Zedan, S., & Miller, W. (2018). Quantifying stakeholders’ influence on energy efficiency of housing: development and application of a four-step methodology. Construction management and economics, 36(7), 375-393. https://doi.org/10.1080/01446193.2017.1411599

[17] Kolleck, N. (2013). Social network analysis in innovation research: using a mixed methods approach to analyze social innovations. European Journal of Futures Research, 1, 1-9. https://doi.org/10.1007/s40309-013-0025-2

[18] Wei, X. (2013, April). Educational technology circle: Social network analysis on Sina Micro blog. In 2013 8th International Conference on Computer Science & Education (pp. 1169-1174). IEEE. https://doi.org/10.1109/ICCSE.2013.6554094

[19] Bi, Q., Zhao, Y., & Guan, J. (2015). Empirical analysis of micro-blog academic information exchange from the perspective of social network analysis. Library Science Research, 26-34. (In Chinese)

[20] Rodrigues, F. A. (2018). Network centrality: an introduction. In A mathematical modeling approach from nonlinear dynamics to complex systems (pp. 177-196). Cham: Springer International Publishing.

[21] Xue, K., Li, Y., & Meng, X. (2019). An evaluation model to assess the communication effects of intangible cultural heritage. Journal of Cultural Heritage, 40, 124-132. https://doi.org/10.1016/j.culher.2019.05.021

[22] Huang, L., & Song, Y. (2022). Intangible cultural heritage management using machine learning model: A case study of northwest folk song Huaer. Scientific Programming, 2022(1), 1383520. https://doi.org/10.1155/2022/1383520

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Published

2026-01-30

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Articles

How to Cite

Digital Trategies for Breaking Barriers: How Promoters Drive Engagement with Intangible Cultural Heritage among Diverse Consumer Groups. (2026). Literature, Language and Cultural Studies, 4(1), 93-101. https://doi.org/10.63313/LLCS.9130