文章摘要
韩美奂,曹金,许斌.科普期刊新冠肺炎疫情主题内容分析 及优化路径探索 ——以典型科普期刊为对象[J].科普研究,2021,16(5):23~32
科普期刊新冠肺炎疫情主题内容分析 及优化路径探索 ——以典型科普期刊为对象
Content Analysis on Themes of COVID-19 Epidemic in Popular ScienceJournals and Its Optimazation:Take Typical Popular Science Journals as Examples
  
DOI:
中文关键词: 新冠肺炎 主题分析 科普期刊
英文关键词: COVID-19  theme analysis  popular science journal
基金项目:
作者单位
韩美奂 清华大学深圳国际研究生院 
曹金 中国科普研究所 
许斌 清华大学计算机科学与技术系 
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中文摘要:
      为了解国内科普期刊应对新冠肺炎疫情的选题策划情况,厘清疫情周期中的选题规律,对科普期刊未来的相关主题策划提供借鉴,本文采用计算语言方法LDA 主题模型,比较了国内典型综合性科普期刊2020 年1 月至2021 年1 月一年内的主题类别及关键内容,并分析了主题设置的特点以及不足。对科普期刊未来类似主题的策划提出优化建议;增强主题的创新性和内容的深度;基于事件生命周期,系统制定科普 主题策略;增加科学新闻主题重,促进科普时效性。
英文摘要:
      In order to understand the topic selection scheme of domestic popular science journals in response to covid-19 pandemic, establish the pattern of selected topics during the pandemic, and provide some references, this paper uses the computational language method LDA topic model to compare the topic categories and contents of typical popular science journals on COVID-19 from January 2020 to January 2021, and then analyses the characteristics as well as shortcomings of the topic settings. This paper suggests that popular science journals need to enhance the innovation and depth of thematic content, systematically develop science thematic strategies based on the life cycle of an epidemic, increase the proportion of science news themes to promote the timeliness of science.
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