欧美典型媒体智库发展现状及启示研究——以彭博社为例
A Study on the Development Status of Typical Media Think Tanks in Europe and the USA and Its Implications:Taking Bloomberg as an Example
汪金刚 1吴美秀2
作者信息
- 1. 广东外语外贸大学新闻与传播学院 广州 510006;清华大学新闻与传播学院 北京 100084;南方报业传媒集团 广州 510601
- 2. 广东外语外贸大学新闻与传播学院 广州 510006
- 折叠
摘要
[目的/意义]媒体智库建设是媒体深度融合的新方向,也是国家提升治理能力的战略任务与迫切要求.纵观全球,欧美国家的媒体智库经过长期演变,已形成了相对成熟的发展模式.认识和掌握欧美典型媒体智库的建设经验,有助于我国媒体智库提升竞争优势.[方法/过程]本文以彭博社媒体智库为个案,梳理它在数据、新闻和用户隐私等方面的发展现状及主要问题,对比总结彭博社等欧美典型媒体智库的经验,提出我国媒体智库建设的建议.[结果/结论]进入新时代,中国媒体智库可通过加强特色资源储备、健全媒体传播通路和注重优化机制建设,进一步提升知识产品质量,实现价值增值,推进中国媒体智库特色化创新发展.
Abstract
[Purpose/Significance]The construction of media think tanks is a new direction for the deep integra-tion of media,and also a strategic task and urgent requirement for the country to enhance its governance capacitlities.Looking at the global landscape,media think tanks in Western countries such as Europe and the USA,have formed a relatively mature development model after a long evolution.Recognizing and mastering the construction experi-ence of typical media think tanks in Europe and the United States can help China's media think tanks enhance their competitive advantages.[Method/Process]This paper takes Bloomberg media think tank as a case study,examines its current development status and major issues in data,news and user privacy,and compares and summarizes the experience of Bloomberg and other typical media think tanks in Europe and USA,and provides strategic recommen-dations for the construction of media think tanks in China.[Result/Conclusion]Entering the new era,Chinese media think tanks can further enhance their quality of knowledge products and realize value-added by strengthening the reserve of characteristic resources,improving media dissemination channels and focusing on optimizing mechanism construction,so as to promote the characteristic and innovative development of Chinese media think tanks.
关键词
彭博社/媒体智库/资源整合/体制创新Key words
Bloomberg/media think tank/resource integration/institutional innovation引用本文复制引用
基金项目
广东省哲学社会科学规划2023年度学科共建项目(GD23XXW10)
出版年
2024
国家科技期刊平台
NSTL
万方数据