Knowledge Commons of Institute of Automation,CAS
Patterns of news dissemination through online news media: A case study in China | |
Wang, Youzhong1; Zeng, Daniel1,2![]() ![]() ![]() | |
发表期刊 | INFORMATION SYSTEMS FRONTIERS
![]() |
2014-09-01 | |
卷号 | 16期号:4页码:557-570 |
文章类型 | Article |
摘要 | Along with the rapid development of online news production and consumption, information spreads rapidly among news portals through reprinting and re-posting. Understanding the dissemination process of online news has important implications for policy making, crisis management, and brand imaging. As the frequency of news reprinting between two news portals expresses the social relationship between them, the topological properties of complex networks of news portals indicate the dynamic patterns of online news dissemination. This research is the first study that examines patterns and organizational structure of online news networks based on historical data collected from more than one thousand Chinese news portals. Main findings reveal that information can spread widely and rapidly through online news portals. Specifically, some major news portals exchange information with each other frequently and they exchange information with small news portals directly, implying that hot-spot events, even they are first reported by a small news portal, can be re-posted by many major news portals in a short time and then spread over the Internet quickly. The dense connections between many major news portals ensure that the spread will not be influenced greatly by the refusal to report typical events of a small part of major news portals. |
关键词 | Online News Information Diffusion Social Network Analysis Dynamic Pattern |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | SMALL-WORLD NETWORKS ; COMPLEX NETWORKS ; EVOLUTION ; DYNAMICS ; BEHAVIOR ; INTERNET ; WIDE ; WEB |
收录类别 | SCI ; SSCi |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000341182600003 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3664 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Zeng, Daniel |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA 3.Oregon State Univ, Coll Business, Corvallis, OR 97331 USA |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Youzhong,Zeng, Daniel,Zhu, Bin,et al. Patterns of news dissemination through online news media: A case study in China[J]. INFORMATION SYSTEMS FRONTIERS,2014,16(4):557-570. |
APA | Wang, Youzhong,Zeng, Daniel,Zhu, Bin,Zheng, Xiaolong,&Wang, Feiyue.(2014).Patterns of news dissemination through online news media: A case study in China.INFORMATION SYSTEMS FRONTIERS,16(4),557-570. |
MLA | Wang, Youzhong,et al."Patterns of news dissemination through online news media: A case study in China".INFORMATION SYSTEMS FRONTIERS 16.4(2014):557-570. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Patterns of news dis(675KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论