中国数据新闻发展报告（2020～2021）
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中文摘要
《中国数据新闻发展报告（2020～2021）》是武汉大学数据新闻研究中心与国家新闻出版署出版融合发展（浙报集团）重点实验室共同编撰的数据新闻蓝皮书。本书由总报告、行业研究篇、教育教学篇、媒体案例篇、大数据与智能传播篇组成，附录为《2019～2020年中外数据新闻奖获奖作品》。
总报告从生产团队、生产流程、数据处理、价值理解四个方面对我国近两年的数据新闻发展进行了详细的考察，认为目前我国数据新闻团队规模出现分化、生产过程更加注重用户兴趣、从业者对未来大多持乐观态度，并倡导业界用数据驱动新闻，用形式服务内容，推动数据新闻良性发展。行业研究篇探讨了数据新闻在学术科研、人才培养、业界实践等方面的发展现状与最新特点，述评了中外数据新闻研究的脉络、议题与走向，指出中外研究在关注议题、研究方法、跨学科“对话”等方面的异同；总结了近年来国内数据新闻在议题分布上的变化规律；探析了海外数据新闻的实践动态，总结了其发展特征。教育教学篇总结了当前我国数据新闻教育在课程开设、课程数量等方面的特点，并指出在数据新闻伦理教育和数据中立性等方面还存在进步的空间。此外，针对中外高校新闻传播院系的数据新闻教育情况，从培养层次、内容设置、师资配备、资源供给四个维度解析数据新闻教育现状。媒体案例篇中，来自浙江日报报业集团、澎湃新闻、《四川日报》、《南方都市报》、《每日经济新闻》等国内主流媒体的新闻工作者或科研人员分享了各自的数据新闻实践和经验。大数据与智能传播篇认为大数据与人工智能技术的发展正在改变许多行业，新闻业也概莫能外，数据新闻的产生与技术变革息息相关，分别从技术赋能数据新闻、智能算法在数据新闻中的应用、智能技术的创新应用等方面探讨了技术在数据新闻中的地位和作用，同时也探讨了大数据与人工智能技术在新冠肺炎疫情信息核查及传播等方面的贡献与不足。
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总报告
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行业研究篇
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教育教学篇
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媒体案例篇
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大数据与智能传播篇
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附录
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