河海大学学报（哲学社会科学版）2025，Vol.27Issue(1)：77-89,13.DOI:10.3876/j.issn.1671-4970.2025.01.008
延迟退休政策网络舆情的演化规律、生发机理及治理策略
The Evolution Pattern,Mechanism and Governance Strategy of Online Public Opinion on the Delayed Retirement Policy——Based on NLP Analysis of Online Big Data
摘要
Abstract
Implementing a delayed retirement policy is a crucial measure to advance China's national strategy of actively addressing population aging in the new era.This study examines public attitudes,opinions,and perceptions of the delayed retirement policy by analyzing comments from major media accounts on Weibo and Douyin.Using Python-based data mining and natural language processing(NLP)sentiment analysis tools,the research identifies the characteristics and evolutionary patterns of online public opinion surrounding this policy,providing insights to refine its implementation.The results reveal that public evaluations of the delayed retirement policy are predominantly positive or neutral.High-frequency terms such as"support""voluntary""flexible"and"elastic"reflect widespread public recognition of the policy,with expectations for adjustments tailored to individual needs.Additionally,the public opinion dynamics exhibit distinct evolutionary features,including diverse discussion participants,deepened discourse,rapid diffusion of secondary topics,and a trend toward rational social attitudes.This"unexpected"online opinion phenomenon is closely linked to factors such as government expectation management and sentiment modulation,varying public interests and responses,flexible policy wording and emotional reassurance,official narrative guidance and curated comments,as well as netizens'moral constraints and self-censorship.To foster constructive interactions between the policy and the public,the study recommends optimizing strategies in several areas:addressing public concerns,strengthening authoritative information dissemination,responding to core public demands,and building a robust public opinion monitoring system.These measures aim to enhance the effective implementation and iterative improvement of the delayed retirement policy.关键词
人口老龄化/延迟退休政策/网络舆情/NLP情感分析Key words
population aging/delayed retirement policy/online public sentiment/NLP sentiment analysis引用本文复制引用
孙永健..延迟退休政策网络舆情的演化规律、生发机理及治理策略[J].河海大学学报（哲学社会科学版）,2025,27(1):77-89,13.基金项目
国家社会科学基金重大项目(23&ZD186) （23&ZD186）
江苏省社会科学基金重点项目(JSZY202402) （JSZY202402）
