突发公共卫生事件中在线健康社区关键用户的情感表达特征研究
2021-07-15李长荣纪雪梅郭凤仪
李长荣 纪雪梅 郭凤仪
摘 要:[目的/意義]探索突发公共卫生事件情境下在线健康社区用户的情感表达特征,对在线健康社区平台创新服务水平,舆情监管部门提升舆情管理水平具有重要作用。[方法/过程]本文以新冠肺炎疫情事件为情境,首先,采用基于情感词典的方法对在线健康社区用户的发帖和回帖文本进行情感分析和计算;然后,采用社会网络分析法识别事件传播过程中的高影响力用户、高活跃度用户和关键中间用户;最后,采用方差分析法研究关键用户的情感表达类别特征,采用相关分析法研究关键用户的情感表达强度特征。[结果/结论]研究发现,在线健康社区用户对新冠肺炎疫情事件主要呈现“好”和“恶”两种情感;“怒”情感的影响力均值、中间中心度均值最高;用户的影响力与中间中心度之间存在高度相关关系;用户的活跃度与情感表达强度之间存在正相关关系。相关部门需要及时疏导用户负面情感,安抚情感表达激烈的用户,有效控制舆情蔓延。
关键词:突发公共卫生事件;在线健康社区;情感表达特征;情感分析;社会网络;方差分析
DOI:10.3969/j.issn.1008-0821.2021.07.008
〔中图分类号〕G252.0 〔文献标识码〕A 〔文章编号〕1008-0821(2021)07-0085-09
Research on the Emotional Expression Characteristics of Online
Health Community Key Users in Public Health Emergencies
Li Changrong Ji Xuemei Guo Fengyi
(Institute of Information Management,Shandong University of Technology,Zibo 255049,China)
Abstract:[Purpose/Significance]Exploring the emotional expression characteristics of online health community users plays an important part in innovating the service level of online health community platforms,and improving the public opinion management level of public opinion supervision departments.[Method/Process]The article took the COVID-19 as the situation.First of all,the sentiment dictionary was used to analyze the emotion of online health community users posts and replies.Then,the social network analysis was used to analyze the high-impact users,highly active users and key intermediary users.Finally,analysis of variance was used to analyze the emotional type characteristics of key users in online health community,correlation analysis was used to analyze the emotional intensity of key users in online health community.[Result/Conclusion]In the face of the COVID-19,online health community users mainly expressed two emotions:good and evil.“Anger”had the highest average influence and average betweeness centrality.There was a high correlation between influence and centrality.There was a positive correlation between activity and emotional intensity.Therefore,relevant departments need to promptly disseminate users negative emotions,appease users with intense emotional expressions,and effectively control the spread of public opinion.
Key words:public health emergencies;online health community;emotional expression characteristics;sentiment analysis;social network;analysis of variance
在线健康社区是指虚拟世界中由共同健康兴趣的人组成的集合,集合中人们从事分享经验、提出问题、提供情感支持以及自我帮助等各种与健康相关的活动[1]。随着医疗改革的不断深入和计算机技术的发展,丁香园、甜蜜家园、好大夫在线、医享网、寻医问药网等国内在线健康社区出现了蓬勃发展的态势。……
