| 冯鑫,沈海成,杜鹃,张淑婷.基于PMC指数模型的社情民意政策量化评价[J].唐山学院学报,2024,37(3):60-67 |
| 基于PMC指数模型的社情民意政策量化评价 |
| Policy Quantitative Evaluation of Public Opinion Based on PMC Index Model |
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| DOI：10.16160/j.cnki.tsxyxb.2024.03.009 |
| 中文关键词: 社情民意信息 政策评价 PMC指数模型 |
| 英文关键词: public opinion information policy evaluation PMC index model |
| 基金项目:2021年度河北省社会科学发展研究课题(20210501003) |
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| 摘要点击次数: 2466 |
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| 中文摘要: |
| 搜集了29项国家层面社情民意政策,并以其中的9项作为研究对象进行基于PMC指数模型的量化评价。首先采用文本挖掘技术并参考相关文献构建了一个包含9个一级变量和37个二级变量的评价指标体系,然后计算各项政策的PMC指数得分,绘制PMC曲面图,最后分析政策的一致性水平及其优势和劣势。结果显示,9项政策中3项政策达到完美等级、6项为优秀等级,这表明社情民意政策整体质量良好,内部一致性水平较高,但仍有提升空间。因此,建议政策制定部门设计一个动态的政策发展框架、建立长期效力与短期效力相结合的政策规划、不断完善政策内容,并在政策内容中加强大数据、人工智能等新技术与实践工作相结合方面的指导。 |
| 英文摘要: |
| This study collects 29 state-level public opinion policies, selecting 9 of them as the subjects for quantitative evaluation based on the PMC index model. Firstly, utilizing text mining technology and referring to relevant literature, an evaluation index system consisting of 9 primary indicators and 37 secondary indicators is constructed. Then, the PMC index scores of each policy are calculated, and PMC surface charts are plotted. Finally, the level of consistency, strengths, and weaknesses of the policies are analyzed. The results show that among the 9 policies, 3 have reached a perfect level, and 6 are rated as excellent. This indicates that the overall quality of public opinion policies is good, with a high level of internal consistency, but there is still room for further improvement.Therefore, it is recommended that the policy-making departments design a dynamic policy development framework, establish a policy planning that combines long-term effects with short-term effectiveness, continuously improve policy content, and strengthen guidance on the integration of new technologies such as big data and artificial intelligence with practical work in policy content. |
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