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Volume 14
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10.3390/foods14152650
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Article

Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safety Management

by
Hae Jin Park
1,
Sang Goo Cho
2,
Kyung Won Lee
3,
Seung Jae Lee
4 and
Jieun Oh
5,*
1
Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea
2
Department of Big Data, Kyungbok University, Namyangju-si 12051, Republic of Korea
3
Department of Nutritional Home Economics Education, Korea National University of Education, Cheongju-si 28173, Republic of Korea
4
Department of Food Science and Nutrition, Yongin University, Yongin 17092, Republic of Korea
5
College of Science & Industry Convergence, Ewha Womans University, Seoul 03760, Republic of Korea
*
Author to whom correspondence should be addressed.
Foods 2025, 14(15), 2650; https://doi.org/10.3390/foods14152650
Submission received: 24 June 2025 / Revised: 15 July 2025 / Accepted: 23 July 2025 / Published: 28 July 2025
(This article belongs to the Section Food Quality and Safety)
Versions Notes

Abstract

As digital technologies and food environments evolve, ensuring children’s food safety has become a pressing public health priority. This study examines how the policy discourse on children’s dietary safety in Korea has shifted over time by applying Latent Dirichlet Allocation (LDA) topic modeling to news articles from 2010 to 2024. Using a large-scale news database (BigKinds), the analysis identifies seven key themes that have emerged across five phases of the national Comprehensive Plans for Safety Management of Children’s Dietary Life. These include experiential education, data-driven policy approaches, safety-focused meal management, healthy dietary environments, nutritional support for children’s growth, customized safety education, and private-sector initiatives. A significant increase in digital keywords—such as “big data” and “artificial intelligence”—highlights a growing emphasis on data-oriented policy tools. By capturing the evolving language and priorities in food safety policy, this study provides new insights into the digital transformation of public health governance and offers practical implications for adaptive and technology-informed policy design.
Keywords: children; food safety; Comprehensive Plans for Safety Management of Children’s Dietary Life; BigKinds; LDA children; food safety; Comprehensive Plans for Safety Management of Children’s Dietary Life; BigKinds; LDA

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MDPI and ACS Style

Park, H.J.; Cho, S.G.; Lee, K.W.; Lee, S.J.; Oh, J. Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safety Management. Foods 2025, 14, 2650. https://doi.org/10.3390/foods14152650

AMA Style

Park HJ, Cho SG, Lee KW, Lee SJ, Oh J. Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safety Management. Foods. 2025; 14(15):2650. https://doi.org/10.3390/foods14152650

Chicago/Turabian Style

Park, Hae Jin, Sang Goo Cho, Kyung Won Lee, Seung Jae Lee, and Jieun Oh. 2025. "Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safety Management" Foods 14, no. 15: 2650. https://doi.org/10.3390/foods14152650

APA Style

Park, H. J., Cho, S. G., Lee, K. W., Lee, S. J., & Oh, J. (2025). Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safety Management. Foods, 14(15), 2650. https://doi.org/10.3390/foods14152650

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