Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts

doi:10.3389/fpubh.2024.1329704

科研成果详情

题名	Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts
作者	Chen, Peipei; Jin, Yuwei; Ma, Xinfang; Lin, Yan
发表日期	2024-03-07
发表期刊	Frontiers in public health 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	BERTopic active aging policy making public perception topic modeling
其他关键词	GRANDCHILDREN ; CHINA ; RISK
摘要	To analyze public perceptions of active aging in China on mainstream social media platforms to determine whether the "14th Five Year Plan for the Development of the Aging Career and Older Adult Care System" issued by the CPC in 2022 has fully addressed public needs., The original tweets posted on Weibo between January 1, 2020, and June 30, 2022, containing the words "aging" or "old age" were extracted. A bidirectional encoder representation from transformers (BERT)-based model was used to generate themes related to this perception. A qualitative thematic analysis and an independent review of the theme labels were conducted by the researchers., The findings indicate that public perceptions revolved around four themes: (1) health prevention and protection, (2) convenient living environments, (3) cognitive health and social integration, and (4) protecting the rights and interests of the older adult., Our study found that although the Plan aligns with most of these themes, it lacks clear planning for financial security and marital life.
资助项目	2023 Wenzhou Philosophy and Social Science Planning Annual Project [23WSK121YBM]; 2021 The Educational Science Planning Project of Zhejiang Province [2021SCG166]
出版者	FRONTIERS MEDIA SA
ISSN	2296-2565
EISSN	2296-2565
卷号	12
DOI	10.3389/fpubh.2024.1329704
页数	8
WOS类目	Public, Environmental & Occupational Health
WOS研究方向	Public, Environmental & Occupational Health
WOS记录号	WOS:001188357500001
收录类别	PUBMED ; SCOPUS ; SCIE ; SSCI
URL	查看原文
PubMed ID	38515596
SCOPUSEID	2-s2.0-85188244012
通讯作者地址	[Lin, Yan]School of Foreign Language Studies,Wenzhou Medical University,Zhejiang,Wenzhou,China
Scopus学科分类	Public Health, Environmental and Occupational Health
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/210354
专题	外国语学院
通讯作者	Lin, Yan
作者单位	School of Foreign Language Studies,Wenzhou Medical University,Wenzhou,China
第一作者单位	外国语学院
通讯作者单位	外国语学院
第一作者的第一单位	外国语学院
推荐引用方式 GB/T 7714	Chen, Peipei,Jin, Yuwei,Ma, Xinfang,et al. Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts[J]. Frontiers in public health,2024,12.
APA	Chen, Peipei, Jin, Yuwei, Ma, Xinfang, & Lin, Yan. (2024). Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts. Frontiers in public health, 12.
MLA	Chen, Peipei,et al."Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts".Frontiers in public health 12(2024).