摘要
[目的/意义]探索用户生成内容(User-Generated Content,UGC)跨平台投放情境中受众信息行为的特征能够揭示群体信息行为的互动模式,也有助于为监管信息行为实现科学的决策与引导。[方法/过程]基于自媒体博主投放于抖音、快手与B站的视频内容,采用信息计量学与主题建模相结合的方法对受众信息行为进行测算与主题挖掘,探究UGC跨平台投放对受众信息行为的影响。[结果/结论]研究结果表明,受众的间接互动与直接互动之间没有直接关联;UGC跨平台投放对受众信息行为有直接影响;UGC跨平台投放情境下,受众在与视频内容互动时会涉及相同的话题,但同样含有不同的衍生话题。
[Purpose/Significance]Exploring the characteristics of audience information behavior in the UGC cross-platform delivery situations can reveal patterns of interaction in group information behavior and help inform scientific decisions and guidelines for regulating information behavior.[Method/Process]Based on the video content placed by self-publishers on the Douyin,Kuaishou and Bilibili,a combination of information econometrics and topic modelling was used to measure and theme mine audience information behavior and to explore the impact of UGC cross-platform delivery on audience information behavior.[Result/Conclusion]The results show that there is no direct correlation between audience’s indirect and direct interactions;UGC cross-platform delivery has a direct impact on audience information behavior;UGC cross-platform delivery contexts include the same topics in audience interactions with video contents,but also include various derivative topics.
作者
毕达天
孔婧媛
米艳霖
张雪
Bi Datian;Kong Jingyuan;Mi Yanlin;Zhang Xue(School of Business and Management,Jilin University,Changchun 130012)
出处
《图书情报工作》
CSSCI
北大核心
2023年第16期76-87,共12页
Library and Information Service
基金
国家社会科学基金项目“基于用户跨社交媒体的信息行为偏好特征挖掘与推荐研究”(项目编号:21BTQ059)研究成果之一。
关键词
用户生成内容
UGC跨平台投放
受众信息行为
熵权法
LDA主题模型
user-generated content
UGC cross-platform delivery
audience information behavior
entropy weight method
latent dirichlet allocation
