Exploring the Temporal Dynamics of Chinese Online Interest in the Thai Film the Teacher's Diary: An Analysis of Baidu Index Data
DOI:
https://doi.org/10.12775/PPS.2025.21.59759Keywords
the Teacher's Diary, the Thai Film, Search engine, Baidu Index, Temporal DynamicsAbstract
Objective: This study aims to systematically quantify and analyze the temporal evolution of public online interest in The Teacher’s Diary since the film's release. By examining the dynamic patterns of online search trends related to the film, the study offers valuable insights for stakeholders in the film industry, the education sector, and related decision-making fields. Methods: Utilizing the Baidu Index—an open-access data analysis tool that leverages Baidu’s vast search engine data—this study used The Teacher’s Diary as the primary keyword. Search volume data were collected from March 20, 2014, to March 19, 2025, across China. The analysis included identifying fluctuations in search interest over time, with particular attention to seasonal and event-driven patterns. Results: The findings indicate that public interest in The Teacher’s Diary experienced an initial surge following its release, followed by a decline and subsequent stabilization, punctuated by periodic peaks. Notably, significant spikes in search activity occurred around China’s Teachers’ Day each year (September 10), while search volumes typically dropped during the Spring Festival period. Conclusion: With its unique narrative perspective, The Teacher’s Diary offers a realistic portrayal of educational realities in Thailand. The film not only provides audiences with aesthetic and emotional resonance but also stimulates deeper reflection on broader educational issues.
References
China Internet Network Information Center (CNNIC). (2015). The 35th China statistical report on internet development. https://www.cnnic.net.cn/n4/2022/0401/c88-1074.html
China Internet Network Information Center (CNNIC). (2025). The 55th China statistical report on internet development. https://www.cnnic.net.cn/n4/2025/0117/c88-11229.html
Coonan, C. (2014, September 24). Oscars: Thailand selects ‘Teacher’s Diary’ for foreign-language category. The Hollywood Reporter. https://www.hollywoodreporter.com/movies/movie-news/oscars-thailand-selects-teachers-diary-734630/
Cui, Y. (2016). Analysis of genre-specific creative features in Thai cinema: A case study of Teacher’s Diary. Forum of Arts, (01), 67–68.
Doganer, A., & Zhang, Z. (Justin). (2021). An infodemiological analysis of Google Trends in COVID-19 outbreak: Predict case numbers and attitudes of different societies. Journal of Database Management, 32(2), 1–19. https://doi.org/10.4018/JDM.2021040101
Febriand, F. (2021). The construct of femininity of the female's main character in the Thailand movie "The Teacher’s Diary". International Review of Humanities Studies, 6(2), 17. https://scholarhub.ui.ac.id/irhs/vol6/iss2/17
Galang, A. D. (2020). Non-academic constructs of Thai and Filipino 21st century teachers in the Thai movie “Teacher’s Diary”. OKARA: Jurnal Bahasa dan Sastra, 14(2), 190–208. https://doi.org/10.19105/ojbs.v14i2.3529
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457(7232), 1012–1014. https://doi.org/10.1038/nature07634
Guo, Y., Zhang, L., Pang, S., Cui, X., Zhao, X., & Feng, Y. (2024). Deep learning models for hepatitis E incidence prediction leveraging Baidu Index. BMC Public Health, 24(1), 1–10. https://doi.org/10.1186/s12889-024-20532-7
Han, S., & Zhu, Q. (2024). Does internet search promote trade in services between China and countries along the Belt and Road? Journal of Capital University of Economics and Business, 26(03), 57–71. https://doi.org/10.13504/j.cnki.issn1008-2700.2024.03.005
Jatuporn, O. (2023). The critical analysis of the construction of teacher-ness identities in contemporary Thai films. Asia Social Issues, 16(5), e258892. https://doi.org/10.48048/asi.2023.258892
Li, J., & Ma, Y. (2024). The impact of internet consumer finance on the expansion and quality improvement of residents' consumption. West China Finance, (05), 3–16. https://doi.org/10.16395/j.cnki.61-1462/f.2024.05.003
Liang, G., Gao, M., & Bai, Y. (2021). A study on the spatial and temporal distribution characteristics of the network attention degree of 5A tourist attractions in Xinjiang. Journal of Northwest Normal University (Natural Science), (2), 118–126. https://doi.org/10.16783/j.cnki.nwnuz.2021.02.019
Lin, Z., & Wang, S. (2024). Research on the correlation between web search data and the macro-economic prosperity index. China Journal of Commerce, 33(23), 113–116. https://doi.org/10.19699/j.cnki.issn2096-0298.2024.23.113
Ma, C. (2023). The development dilemma and legal countermeasures of farmers' professional cooperative under the background of internet. Journal of Shanxi Agricultural University (Social Science Edition), 22(06), 118–124. https://doi.org/10.13842/j.cnki.issn1671-816x.2023.06.013
Shen, D., Zhang, Y., Xiong, X., & Zhang, W. (2017). Baidu Index and predictability of Chinese stock returns. Financial Innovation, 3(1), Article 4. https://doi.org/10.1186/s40854-017-0053-1
Tan, Q., Ao, Y., & Teng, L. (2024). Utilizing Baidu Index data to investigate the spatiotemporal characteristics of public concern towards lifelong education. Quality in Sport, 27, 55688. https://doi.org/10.12775/QS.2024.27.55688
Tan, Q., He, F., & Teng, L. (2022). Using Baidu Index to understand the public concern of children’s mental health in Mainland China in the context of COVID-19 epidemic. Journal of Education, Health and Sport, 12(10), 189–198. https://doi.org/10.12775/JEHS.2022.12.10.022
Tan, Q., Zhang, Z., & Teng, L. (2024). Increasing public interest in online education during the COVID-19 pandemic in the United States: An analysis of Google Trends data. Journal of Education, Health and Sport, 72, 57390. https://doi.org/10.12775/JEHS.2024.72.57390
Wang, C. (2023). Reform and innovation of university education management mode in the “Internet +” era. Journal of Qiqihar University (Philosophy & Social Science Edition), (09), 156–159. https://doi.org/10.13971/j.cnki.cn23-1435/c.2023.09.035
Wang, F. (2019). A wise teacher embodies love: Reflections on the film Teacher’s Diary. Hebei Education, 57(06), 63–64.
Wang, Y., & Zhang, H. (2025). From search engines to AI search: An analysis of information acquisition evolution empowered by large language models. Editorial Friend, 1–7. http://kns.cnki.net/kcms/detail/14.1066.G2.20250219.1132.002.html
Wu, D., Xu, Z., & Bach, S. (2023). Using Google Trends to predict and forecast avocado sales. Journal of Marketing Analytics, 11(4), 629–641. https://doi.org/10.1057/s41270-023-00232-8
Xue, T. (2023). Research on film marketing strategy of D Picture Company [Master’s thesis, Shanghai University of Finance and Economics]. https://doi.org/10.27296/d.cnki.gshcu.2023.001943
Zhang, Y., Han, W., & Huo, M. (2017). A study of ResearchGate's attention and usage based on Google Trends and Baidu Index. Information Science, 35(7), 60–64. https://doi.org/10.13833/j.cnki.is.2017.07.011
Zhang, Z., & Tang, W. (2016). Analysis of spatial patterns of public attention on housing prices in Chinese cities: A web search engine approach. Applied Geography, 70, 68–81. https://doi.org/10.1016/j.apgeog.2016.03.004
Zhao, M., & Liu, J. (2024). Research on new legal risk prevention involved in China's internet medicine. Medicine and Society, 37(07), 115–122. https://doi.org/10.13723/j.yxysh.2024.07.017
Zuo, Z., Zhang, H., & Juan, H. (2010). Investigation and analysis of tourist traffic characteristics based on Dalian scenic area at holidays. Journal of Dalian Jiaotong University, 31(03), 28–32. https://doi.org/10.13291/j.cnki.djdxac.2010.03.027
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Qinyi Tan, Simeng Zhang, Luyan Teng
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
Stats
Number of views and downloads: 81
Number of citations: 0
