大数据时代构建一套运用社交媒体数据评估公共政策满意度的方法具有重要意义。文章从社交媒体数据与政策评估融合的角度,提出了运用社交媒体数据评估公共政策满意度的逻辑、维度与相应的方法和技术。其逻辑在于明确社交媒体数据和政策评估的共同性、互补性的基础上将社交媒体的优势、方法、技术与政策评估相整合,整合的维度包括政策后果话题识别、政策后果关注度、政策满意度、政策满意度影响因素四个方面,文本聚类、话题热度分析、情绪分析、基于情感极性的主题建模等有助于相关评估维度的实现。对C省份“双减”政策实施公众满意度评估的实践表明,该方法具有较强的优势和可行性。文章对大数据时代公共政策评估的创新进行了探索,并为“双减”政策实施的优化提供了一定启示。In the era of big data, it is of great significance to construct a set of methods for evaluating policy satisfaction using social media data. From the perspective of the integration of social media data and policy evaluation, this paper puts forward the logic, dimension and corresponding methods of using social media data to evaluate public policy satisfaction. Its logic is to integrate the advantages, methods and technologies of social media with policy evaluation on the basis of clarifying the commonality and complementarity of social media data and policy evaluation. The integration dimension includes four aspects: topic identification of policy consequences, attention to policy consequences, policy satisfaction and influencing factors of policy satisfaction. Text clustering, topic heat analysis, sentiment analysis and topic modeling based on emotion polarity are helpful to the realization of relevant evaluation dimensions. The practice of public satisfaction evaluation on the implementation of “double reduction” policy in C province shows that this method has strong advantages and feasibili
为研究上海居民对当前个人养老金政策满意程度的情况,首先通过中国知网、EBSCOhost数据库等信息平台查找个人养老金政策的相关文献,以了解我国关于个人养老金的具体政策内容。文章以居民的视角,通过社会调查法、抽样调查法同时开展线上问卷以及线下调研相结合的方式,发现影响上海居民对个人养老金政策满意度的因素可分为居民自身因素以及政策特征因素两类,其中,居民自身因素中,可通过中介效应分析居民的平均收入及健康水平对满意度的影响;此外,政策特征因素中,通过建立多元Logistic回归方程分析得知,“自负盈亏,压力大”、“期限长,不能在期中取出”、“优惠力度不够吸引人”这三方面是阻碍上海居民提升个人养老金政策满意度的主要因素。基于此,文章从政府层面、市场层面以及个人层面提出了对于个人养老金制度的优化路径。In order to study the satisfaction of the current personal pension policy of Shanghai residents, the relevant literature on the personal pension policy is searched by the China National Knowledge Infrastructure, EBSCOhost database, and other information platforms in order to understand the specific policy contents of the personal pension in our country. From the perspective of residents, this paper combines online questionnaires and offline surveys with social surveys and sampling surveys and finds that the factors affecting Shanghai residents’ satisfaction with personal pension policies can be divided into residents’ own factors and policy characteristics. Among the residents’ factors, the mediating effect can be used to analyze the influence of average income and health level of residents on satisfaction. In addition, among the characteristic factors of the policy, through the establishment of multiple Logistic regression equation analysis, it is found that “self-financing, great pressure”, “long term, cannot be withdrawn in the i
