In order to study the content evolution characteristics of emergency science popularization articles during COVID-19 epidemic, articles of WeChat official account Science_China, DingXiangYiSheng, zgjkdt, yjglbwx from January to February 29th 2020 are taken as the research object. This paper extracts the key words of emergency science popularization articles and analyzes the network characteristics of the key words of the articles in four time periods using the method of co-word analysis. It is found that the main content of emergency science popularization is protection, with masks, frequent hand-washing, ventilation and health monitoring as the main protective measures, and less-going-out as the main suggestions. Besides general WeChat users, science popularization content is also aimed at specific groups. With the epidemic being gradually under control, the derivative words related to protective measures gradually become less, less-going-out becomes less-aggregation, and the homebased protection gradually turns into the protection of return to work and office space. Scientists have made great contributions to the popularization during the epidemic, and scientific literacy is needed to convert scientific research results into popular science knowledge.
YANG Jiaying
,
ZHENG Nian
. Content evolution of emergency science popularization articles during COVID-19 epidemic: Based on the method of co-word analysis[J]. Science & Technology Review, 2020
, 38(15)
: 129
-137
.
DOI: 10.3981/j.issn.1000-7857.2020.15.014
[1] 杨家英, 王明. 我国应急科普工作体系建设初探——基于新冠肺炎疫情应急科普实践的思考[J]. 科普研究, 2020, 15(1):32-40
[2] 苏倩. 融媒体环境下应急科普教育探究[J]. 科技创业月刊, 2019, 32(11):129-131.
[3] 张理茜, 王孜丹. 我国科技社团参与应急科普的问题及对策研究[J]. 学会, 2018(2):14-19.
[4] 胡莲翠. 突发公共卫生事件中应急科普作用研究[D]. 合肥:安徽医科大学, 2016.
[5] 汤书昆, 樊玉静. 突发疫情应急科普中的媒体传播新特征——以新冠肺炎疫情舆情分析为例[J]. 科普研究, 2020, 15(1):63-69.
[6] 李珍晖, 黄京一. 重大突发公共事件的科学传播研究——以新冠肺炎疫情为例[J]. 教育传媒研究, 2020(3):23-27.
[7] 周荣庭, 柏江竹. 新冠肺炎疫情下科技馆线上应急科普路径设计——以中国科技馆为例[J]. 科普研究, 2020, 15(1):91-98.
[8] 马爱平, 柴焯翔. 从新冠肺炎疫情防控看农村科普的时代意义、机遇和重点[J]. 科技传播, 2020, 12(6):1-2.
[9] 新型冠状病毒肺炎疫情实时动态[EB/OL].[2020-05-08]. http://fms.news.cn/swf/2020_sjxw/2_1_xgyq/index.html?v=0.1251664069728473.
[10] Loet Leydesdorff, Liwen Vaughan. Co-occurrence matrices and their applications in information science:Extending ACA to the web environment[J]. Journal of the American Society for Information Science and Technology, 2006, 57(12):1616-1628.
[11] 张应语, 封燕. 社会网络分析回顾与研究进展[J]. 科学决策, 2019(12):61-76.
[12] Therrien M C, Jutras M, Usher S. Including quality in social network analysis to foster dialogue in urban resilience and adaptation policies[J]. Environmental Science and Policy, 2019, 93:1-10.
[13] Sanders W S, Wang Y J, Zheng Q. Brand's social media presence as networks:The role of interactivity and network centrality on engagement[J]. Communication Research Reports, 2019, 36(2):179-189.
[14] Calliari E, Michetti M, Farnia L, et al. A network approach for moving from planning to implementation in climate change adaptation:Evidence from Southern Mexico[J]. Environmental Science and Policy, 2019, 93:146-157.
[15] 袁子凌, 田华. 突发公共事件中公众的科学认知及网络行为分析研究——以双黄连抢购事件为例[J]. 科普研究, 2020, 15(2):60-67.
