Jumping onto the bandwagon of collective gatekeepers: Testing the bandwagon effect of information diffusion on social news website

被引：13
|
作者：
Wang, Cheng-Jun [1 ,2 ]
Zhu, Jonathan J. H. [2 ]
机构：
[1] Nanjing Univ, Sch Journalism & Commun, Computat Commun Collaboratory, Nanjing, Jiangsu, Peoples R China
[2] City Univ Hong Kong, Dept Media & Commun, Web Min Lab, Hong Kong, Peoples R China
来源：
TELEMATICS AND INFORMATICS | 2019年 / 41卷
关键词：
Information diffusion; Collective gatekeeping; Interpersonal effects; Bandwagon effects; Threshold model; THRESHOLD MODELS; CONTAGION; MEDIA; SCIENCE; AGENDA;
D O I：
10.1016/j.tele.2019.03.001
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
Based on collaborative information filtering and information aggregation services, the social news website carries out a collective gatekeeping function, supplying an empirical ground to test the bandwagon effect on information diffusion. Modeling the interpersonal effect and bandwagon effect in collective gatekeeping with threshold models, we confirm the bandwagon effect of collective gatekeeping on news diffusion with two novel datasets. The results demonstrate that the bandwagon of collective gatekeepers is the primary driver for online news diffusion. Interestingly, the bandwagon effect of collective gatekeeping is moderated by the strength of interpersonal effects. The theoretical generalizations of this research contribute to our understanding about the impact of collective gatekeeping on information diffusion.
引用
收藏
页码：34 / 45
页数：12
相关论文
共 3 条
1