首页|微博平台烟草信息的主题特征及情感倾向分析

微博平台烟草信息的主题特征及情感倾向分析

扫码查看
目的 了解微博用户发布和公众关注的烟草信息的主题特征,并探究各类烟草信息的传播效果,为推动控烟信息的高效传播及效果提升提供理论参考.方法 使用Python软件爬取微博用户发布的烟草信息,采用UCINET软件进行数据分析和共词矩阵分析.结果 经爬取、筛选后共获得6385条烟草信息.其中,烟草信息的关键词整体呈高异质性、广覆盖特征,其频次以"吸烟""抽烟"居多;正向情感的烟草信息关键词(68.71%)较负向情感(6.98%)多,其频次以"吸烟""二手烟"居多.结论 微博平台中烟草信息的网络生态整体较好,烟草相关内容占比较小,但具有较强的诱惑性和隐蔽性.相关部门应持续关注烟草流行词汇,并加强烟草危害和控烟法律的宣传,谨防负向情感的烟草信息传播.
Thematic characteristics and emotional tendencies of tobacco health information in Weibo
Objective To understand the thematic characteristics of tobacco information released by microblog us-ers,and to explore the communication effects of various types of tobacco information for providing theoretical references to ef-ficient dissemination of tobacco control.Methods Python software was used to crawl tobacco-related information posted by Weibo users,and UCINET software was used for data analysis and covariance matrix analysis.Results A total of 6385 to-bacco information was obtained after crawling and screening.Among them,the keywords of tobacco information were charac-terized by high heterogeneity and wide coverage,and the keyword frequency of"smoking"was the most highest.The tobacco information keywords of positive emotions(68.71%)were more than those of negative emotions(6.98%),and the fre-quencies of"smoking"and"second-hand smoking"were higher.Conclusion The network ecology of tobacco information in the micro-blog platform is good,and the content related to tobacco is relatively small,but it has strong temptation and concealment.Relevant departments should continue to pay attention to the tobacco epidemic vocabulary and strengthen the publicity of tobacco hazards and tobacco control laws,so as to guard against the spread of negative emotional tobacco infor-mation.

Weibo platformTobacco informationHealth communicationCo-word matrix analysis

赵希瑄、李艳、张露露、朱静芬

展开 >

上海交通大学医学院,上海 200025

微博平台 烟草信息 健康传播 共词矩阵分析

国家社会科学基金

20BSH133

2024

中国健康教育
中国健康教育中心 中国健康促进与教育协会

中国健康教育

CSTPCD北大核心
影响因子:1.261
ISSN:1002-9982
年,卷(期):2024.40(2)
  • 18