Wang Xuechun, Xia Bo, Chen Qing, Skitmore Martin, Liu Huiming
Department of Engineering Management, Shanxi Vocational University of Engineering Science and Technology, Taiyuan, Shanxi Provience, China.
School of Architecture and Built Environment, Queensland University of Technology, Brisbane, QLD, Australia.
Front Public Health. 2025 Feb 18;12:1454287. doi: 10.3389/fpubh.2024.1454287. eCollection 2024.
The traditional family responsibility system faces challenges as China undergoes rapid demographic shifts with an increasingly older population. Recognizing the potential of market-driven senior care, Continuing Care Retirement Communities (CCRCs) have emerged as a significant alternative. However, cultural stigmas and concerns about the quality, services, and health of older adults in these facilities raise questions over their broad acceptance.
This study examines public sentiment toward CCRCs through sentiment analysis of 1,027,295 pre-processed Weibo posts. Utilizing Natural Language Processing (NLP) combined with fine-grained sentiment analysis and the Term Frequency-Inverse Document Frequency algorithm, the attitudes and emotions reflected in each data point are analyzed, identifying key contributing factors, and exploring the underlying reasons.
The results reveal a predominantly positive sentiment toward CCRCs, emphasizing factors such as the living environment and government involvement. However, areas of concern, such as potential fraud and health and safety issues, remain. These findings both shed light on the public's acceptance or resistance to CCRCs for stakeholders and highlight the potential of social media analysis in shaping older people's care perceptions in today's China.
随着中国人口结构迅速转变，老龄化程度日益加深，传统家庭养老责任体系面临挑战。认识到市场驱动型养老的潜力后，持续照料退休社区（CCRCs）应运而生，成为一种重要的养老选择。然而，文化偏见以及对这些机构中老年人的生活质量、服务和健康状况的担忧，引发了人们对其广泛接受度的质疑。
本研究通过对1,027,295条预处理微博帖子进行情感分析，考察公众对持续照料退休社区的看法。利用自然语言处理（NLP）技术，结合细粒度情感分析和词频逆文档频率算法，分析每个数据点所反映的态度和情绪，确定关键影响因素，并探究其潜在原因。
结果显示，公众对持续照料退休社区总体持积极态度，强调居住环境和政府参与等因素。然而，潜在欺诈以及健康和安全问题等令人担忧的领域依然存在。这些发现为利益相关者了解公众对持续照料退休社区的接受或抵触情况提供了启示，也凸显了社交媒体分析在塑造当今中国老年人护理观念方面的潜力。
