The Problem of Copyright Infringement in Text and Data Mining (TDM) Under the Copyright Act B.E. 2537: A Comparative Study Between Thailand, the United States, the United Kingdom, Japan and China
Keywords:
Text and Data Mining (TDM), Copyright Infringement, Fair Use Doctrine, Copyright Infringement ExceptionAbstract
This article examines the problem of copyright infringement in the context of Text and Data Mining (TDM) under Thailand’s Copyright Act B.E. 2537 (1994), comparing it with the legal frameworks of the United States, the United Kingdom, Japan, and China. TDM, a key process in extracting insights from large datasets, often requires reproducing copyrighted materials, raising copyright infringement concerns. While countries like Japan and the U.S. have adopted flexible or specific exceptions facilitating TDM, Thailand’s current legal structure, particularly Section 32 and its interpretation by the Supreme Court, offers limited scope for such activities even for non-commercial purposes. This restrictiveness hinders innovation and places Thailand at a competitive disadvantage. The study highlights the need to amend Thai copyright law to explicitly permit TDM, ensuring both legal clarity and support for technological advancement in line with global practices.
References
Carroll, M. W. (2019). Copyright and the progress of science: Why text and data mining Is lawful (SSRN Scholarly Paper No. 3531231). Social Science Research Network. Retrieved from https://papers.ssrn.com/abstract=3531231
Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery in databases. AI Magazine, 17(3), 37–54. https://doi.org/10.1609/aimag.v17i3.1230
Fernández-Molina, J.-C., & De La Rosa, F. E. (2024). Copyright and text and data mining: Is the current legislation sufficient and adequate? portal: Libraries and the academy, 24(3), 653–672. https://doi.org/10.1353/pla.2024.a931775
Grasser, S. W., & Joseph. (2024). Japan’s new draft guidelines on AI and copyright: Is It really ok to train ai using pirated materials? Privacy World. Retrieved from https://www.privacyworld.blog/2024/03/japans-new-draft-guidelines-on-ai-and-copyright-is-it-really-ok-to-train-ai-using-pirated-materials/
Hassani, H., Beneki, C., Unger, S., Mazinani, M. T., & Yeganegi, M. R. (2020). Text mining in big data analytics. Big data and cognitive computing, 4(1), 1. https://doi.org/10.3390/bdcc4010001
He, T. (2021). Copyright exceptions reform and ai data analysis in China a modest Proposal. In J.-A. Lee, R. Hilty, & K.-C. Liu (Eds.), Artificial intelligence and intellectual property pp. 196–220). Oxford University PressOxford. https://doi.org/10.1093/oso/9780198870944.003.0010
He, T. (2022). The copyright liimitations of the 2020 copyright Law of China: A Satisfactory
compromise? the copyright society. Retrieved from https://copyrightsociety.org/journal-
entries/the-copyright-limitations-of-the-2020-copyright-law-of-china-a-satisfactory-
compromise/
Headdon, T. (2023). The text and data mining copyright exception in the UK “for the sole purpose of research for a non-commercial purpose” What does it cover? Bristows. Retrieved from https://www.bristows.com/news/the-text-and-data-mining-copyright-exception-in-the-uk-for-the-sole-purpose-of-research-for-a-non-commercial-purpose-what-does-it-cover/
Hue, J. (2022). Copyright exceptions for text and data mining in china: inspiration from transformative use. The Copyright Society. Retrieved from https://copyrightsociety.org/journal-entries/copyright-exceptions-for-text-and-data-mining-in-china-inspiration-from-transformative-use/
Intellectual Property Office. (2014). Exceptions to copyright—guidance for creators and copyright owners.
Losiewicz, P., Oard, D. W., & Kostoff, R. N. (2000). Textual data mining to support science and technology management. Journal of intelligent information systems, 15(2), 99–119. https://doi.org/10.1023/A:1008777222412
Ministry of Digital Economy and Society. (2016). Thailand digital economy and society development plan. Retrieved from https://dig.watch/resource/thailand-digital-economy-and-society-development-plan
Natasha, K. C. K. (2022). The role of copyright law in text and data mining research. Retrieved from https://cipit.strathmore.edu/the-role-of-copyright-law-in-text-and-data-mining-research/
OECD. (2013). Exploring data-driven innovation as a new source of growth: Mapping the policy issues raised by “big data” (oecd digital economy papers no. 222; oecd digital economy papers, vol. 222). https://doi.org/10.1787/5k47zw3fcp43-en
OECD. (2015). Data-driven innovation: Big data for growth and well-being. OECD. https://doi.org/10.1787/9789264229358-en
Rosati, E. (2019). Copyright as an obstacle or an enabler? a European perspective on text and data mining and its role in the development of AI creativity (ssrn scholarly paper no. 3452376). social science research network. Retrieved from https://papers.ssrn.com/abstract=3452376
Samuelson, P. (2009). Unbundling fair uses. Fordham law review, 77(5), 2537.
Samuelson, P. (2015). Justifications for copyright limitations & exceptions (ssrn scholarly paper no. 2476669). social science research network. Retrieved from https://papers.ssrn.com/abstract=2476669
Scott, E. (2025). Copyright and artificial intelligence: Impact on creative industries. Retrieved from https://lordslibrary.parliament.uk/copyright-and-artificial-intelligence-impact-on-creative-industries/
The Nation. (2025). Thailand outlines ambitious AI strategy to become regional hub. Retrieved from https://www.nationthailand.com/business/tech/40049494
Ueno, T. (2021). The flexible copyright exception for ‘non-enjoyment’ purposes-recent amendment in japan and its implication. GRUR International, 70(2), 145–152. https://doi.org/10.1093/grurint/ikaa184
Weber, N., & Locke, B. (2022). Ethics of open data. arXiv. https://doi.org/10.48550/ARXIV.2205.10402