Social Media Coverage of Public Health Issues in China: A Content Analysis of Weibo News Posts

被引：0

作者：

Pei, Jiayin ^{[1
]}

Yu, Guang ^{[1
]}

Shan, Peng ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China

[2] Jiangnan Univ, Sch Business, Wuxi 214122, Peoples R China

来源：

INFORMATION TECHNOLOGY: NEW GENERATIONS | 2016年 / 448卷

关键词：

Content analysis; Feature analysis; Microblogging; Public management; Social media; ONLINE; RISK; COMMUNICATION; CHALLENGES;

D O I：

10.1007/978-3-319-32467-8_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Content analysis is a useful tool for better understanding how different portrays of public health issues may affect news dissemination. In this research, we conducted a content analysis on health-related messages published by opinion-leading news outlets. We examined generic content attributes, including number of words, sentences, images, links, and published time, as well as content valence features. Our findings show that there are no significant differences in the amount words, sentences and hyperlinks used between the highly forwarded and lowly forwarded news posts when covering a public health issue. Whereas the topic and title length as well as content valence of highly forwarded new posts is different from the lowly forwarded ones. We also discuss ways to improve popularity of health-related news.

引用

页码：111 / 120

页数：10

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