关键词: BERTopic active aging policy making public perception topic modeling

Mesh : Humans Aged COVID-19 / psychology SARS-CoV-2 Unsupervised Machine Learning Public Opinion Social Media

来  源:   DOI:10.3389/fpubh.2024.1329704   PDF(Pubmed)

Abstract:
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.
摘要:
在主流社交媒体平台上分析公众对中国积极老龄化的看法,以确定中国共产党于2022年发布的“老龄化职业和老年成人护理系统发展第十四个五年计划”是否充分满足了公众需求。
提取了2020年1月1日至2022年6月30日在微博上发布的原始推文,其中包含“老化”或“老年”字样。来自基于变压器(BERT)的模型的双向编码器表示用于生成与该感知相关的主题。研究人员进行了定性的主题分析和主题标签的独立审查。
调查结果表明,公众的看法围绕四个主题:(1)健康预防和保护,(2)生活环境便利,(3)认知健康与社会融合,(四)保护老年人的权益。
我们的研究发现,尽管该计划与大多数主题一致,它缺乏明确的财务保障和婚姻生活规划。
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