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基于BigKinds新闻大数据的儿童食品安全管理主题建模分析：比较儿童膳食安全管理综合计划的实施时间

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.

作者信息

Park Hae Jin, Cho Sang Goo, Lee Kyung Won, Lee Seung Jae, Oh Jieun

机构信息

Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea.

Department of Big Data, Kyungbok University, Namyangju-si 12051, Republic of Korea.

出版信息

Foods. 2025 Jul 28;14(15):2650. doi: 10.3390/foods14152650.

DOI:10.3390/foods14152650
PMID:40807586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12345987/
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.

摘要

随着数字技术和食品环境的演变，确保儿童食品安全已成为紧迫的公共卫生优先事项。本研究通过对2010年至2024年的新闻文章应用潜在狄利克雷分配（LDA）主题建模，考察了韩国关于儿童饮食安全的政策话语如何随时间变化。通过使用大规模新闻数据库（BigKinds），分析确定了在国家儿童饮食生活安全管理综合计划的五个阶段中出现的七个关键主题。这些主题包括体验式教育、数据驱动的政策方法、以安全为重点的膳食管理、健康的饮食环境、对儿童成长的营养支持、定制化安全教育以及私营部门倡议。诸如“大数据”和“人工智能”等数字关键词的显著增加，凸显了对数据导向型政策工具的日益重视。通过捕捉食品安全政策中不断演变的语言和优先事项，本研究为公共卫生治理的数字转型提供了新见解，并为适应性和技术知情的政策设计提供了实际启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/8159efb94497/foods-14-02650-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/aba31bfbadc0/foods-14-02650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/007aebcd2c1c/foods-14-02650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/e8e3e1086b65/foods-14-02650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/2ec06b741aad/foods-14-02650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/e8fb3083bfae/foods-14-02650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/1aabbdf4b1d1/foods-14-02650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/a35477c2b718/foods-14-02650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/7b295ebc1c71/foods-14-02650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/ef212db4d4cc/foods-14-02650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/8159efb94497/foods-14-02650-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/aba31bfbadc0/foods-14-02650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/007aebcd2c1c/foods-14-02650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/e8e3e1086b65/foods-14-02650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/2ec06b741aad/foods-14-02650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/e8fb3083bfae/foods-14-02650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/1aabbdf4b1d1/foods-14-02650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/a35477c2b718/foods-14-02650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/7b295ebc1c71/foods-14-02650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/ef212db4d4cc/foods-14-02650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7454/12345987/8159efb94497/foods-14-02650-g010a.jpg

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