中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The content and predictors of government stereotype in china: The role of medias and social attitudes

文献类型:会议论文

作者Tang, Shu1,2; Jia, Qifan1,2; Zhou, Jie1
出版日期2020-01
会议日期January 31, 2020 - February 2, 2020;
会议地点不详
页码100-106
英文摘要

When thinking of or talking about "government", some words would come to people's minds, which stem from inadequate cognition of government. These words representing the public's stereotype toward government will cause a blockage in their interactions with government. Therefore, this research aimed to propose the content of government stereotype in China, and explore its predictors. Based on the results of a previous free-response study in 2013, we adopted checklist method and the stereotype differential technique in this research in 2015, finding that the content of government stereotype contained "distant", "not warm", "not dedicative", "not just"and "not clean". Regression analysis revealed that the medias for getting information could predict the government stereotype. Specifically, people who often focus on TV, CPC (the Communist Party of China) newspapers and journals, government websites and mainstream news websites like Xinhua and People.com.cn, had a more positive stereotype toward government. In addition, life satisfaction and perception of social justice also influenced government stereotype significantly. The implications of research on public management are discussed.

会议录Proceedings of the 2020 3rd International Conference on Computers in Management and Business
源URL[http://ir.psych.ac.cn/handle/311026/33392]  
专题中国科学院心理研究所
作者单位1.Institute of Psychology, Chinese Academy of Sciences, 100101, China
2.Department of Psychology, University of Chinese, Academy of Sciences, 100049, China
推荐引用方式
GB/T 7714
Tang, Shu,Jia, Qifan,Zhou, Jie. The content and predictors of government stereotype in china: The role of medias and social attitudes[C]. 见:. 不详. January 31, 2020 - February 2, 2020;.

入库方式: OAI收割

来源:心理研究所

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