@article{ART003104298},
author={Nohil Park and Park, Dae-Keun and Jeong JiYeon},
title={Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI},
journal={Health Communication Research},
issn={2093-2707},
year={2024},
volume={23},
number={2},
pages={29-60},
doi={10.24172/hcr.2024.23.2.29}
TY - JOUR
AU - Nohil Park
AU - Park, Dae-Keun
AU - Jeong JiYeon
TI - Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI
JO - Health Communication Research
PY - 2024
VL - 23
IS - 2
PB - Korea Health Communication Association
SP - 29
EP - 60
SN - 2093-2707
AB - Despite milk's crucial role in promoting national health and food security, few studies have explored milk-related reporting issues in the news media. This study aims to provide a comprehensive view of various milk-related stakeholders' perspectives by analyzing news big data. We conducted semantic network analysis and topic modeling using generative AI on 1,338 milk consumption-related news articles from the past five years. The analysis identified positive topics such as consumer health, food safety, pricing policies, reusable packaging, sustainable consumption and the subscription economy, new product development in the protein market, and efficiency in logistics and distribution systems. Notably, the increase in organic milk and dairy product consumption and the positive impact of coffee and milk combinations on milk consumption were significant issues. Conversely, negative issues included declining milk consumption, the rise of plant-based alternatives, increasing milk prices, low birth rates and demographic changes, and decreased consumption due to COVID-19. By tracking changes in specific keywords and positive/negative issues related to milk consumption highlighted by the news media over the past five years, this study presents both the challenges and opportunities facing the milk industry. It is expected to provide insights for developing multifaceted milk consumption promotion strategies for policymakers, dairy farmers, consumers, and media professionals in the milk industry.
KW - Milk Consumption;News;Media Analysis;Topic Modeling;Generative AI
DO - 10.24172/hcr.2024.23.2.29
ER -
Nohil Park, Park, Dae-Keun and Jeong JiYeon. (2024). Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI. Health Communication Research, 23(2), 29-60.
Nohil Park, Park, Dae-Keun and Jeong JiYeon. 2024, "Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI", Health Communication Research, vol.23, no.2 pp.29-60. Available from: doi:10.24172/hcr.2024.23.2.29
Nohil Park, Park, Dae-Keun, Jeong JiYeon "Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI" Health Communication Research 23.2 pp.29-60 (2024) : 29.
Nohil Park, Park, Dae-Keun, Jeong JiYeon. Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI. 2024; 23(2), 29-60. Available from: doi:10.24172/hcr.2024.23.2.29
Nohil Park, Park, Dae-Keun and Jeong JiYeon. "Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI" Health Communication Research 23, no.2 (2024) : 29-60.doi: 10.24172/hcr.2024.23.2.29
Nohil Park; Park, Dae-Keun; Jeong JiYeon. Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI. Health Communication Research, 23(2), 29-60. doi: 10.24172/hcr.2024.23.2.29
Nohil Park; Park, Dae-Keun; Jeong JiYeon. Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI. Health Communication Research. 2024; 23(2) 29-60. doi: 10.24172/hcr.2024.23.2.29
Nohil Park, Park, Dae-Keun, Jeong JiYeon. Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI. 2024; 23(2), 29-60. Available from: doi:10.24172/hcr.2024.23.2.29
Nohil Park, Park, Dae-Keun and Jeong JiYeon. "Identifying Positive and Negative News Topics Related to Milk Consumption: An Analysis of News Articles Over the Past Five Years Using Generative AI" Health Communication Research 23, no.2 (2024) : 29-60.doi: 10.24172/hcr.2024.23.2.29
