社交网络内容用户“茧房趋同性”——基于BERT模型的新浪微博样本研究  

User“Information Cocoons’Convergence”in Social Network User Content-An Empirical Study based on BERT with Sina Weibo Data

作　　者：徐翔 余珺君 XU Xiang;YU Junjun(School of Art and Media,Tongji University,Shanghai 201804,China)

机构地区：[1]同济大学艺术与传媒学院,上海201804

出　　处：《北京理工大学学报（社会科学版）》2023年第4期182-191,共10页Journal of Beijing Institute of Technology：Social Sciences Edition

基　　金：国家自然科学基金项目“社交网络互动中用户‘信息窄化’机理分析:基于微博的数据挖掘”(71804126);上海市级科技重大专项“人工智能基础理论与关键核心技术”(2021SHZDZX0100)。

摘　　要：网络个性化信息消费时代,信息茧房带来的社会文化风险受到广泛关注。在“千人千面”的个性化表层之下,陷入“茧房”是让用户走向内容趋同还是趋异,是具有争议的学术命题和亟需检验的现实问题。基于BERT模型,以新浪微博用户(N=2 143)为样本,实证检视社交网络内容生产中的用户“茧房趋同性”现象。主要研究发现:(1)任意两个用户的内容相似程度,能够通过彼此的“茧房”程度予以表达和预测;(2)“茧房”程度越高的用户彼此的内容相似程度越高,“茧房”程度差异越大的用户彼此的内容相似程度越低。结果从相似关系视角拓展和反思对信息茧房的认知,有助于深入刻画社交媒体UGC用户趋同背后的复杂机制和实践问题。In the age of personalized information communication,the social and cultural threat of information cocoons has drawn public attention.Under the personalized surface of“everyone has their preference”,whether falling into a“cocoon”leads users towards content convergence or differentiation is a controversial academic proposition and an urgent practical issue that needs to be tested.Based on the BERT model,2143 users randomly selected from Sina Weibo were analyzed,“information cocoons’convergence”in social network user content was empirically studied.Results show that:(1)the degree of content similarity between any two users could be expressed and predicted by their information cocoon degree;(2)different users showed higher content convergence when the degree of their information cocoon rose,and showed lower content homophily when there was a big difference between their information cocoon degree.This result reflects on the cognition of the popular view of information cocoons from the perspective of similarity,and is conducive to understanding more deeply the complex mechanism and practical problems of social media users’convergence of UGC(user-generated content).

关 键 词：信息茧房 用户趋同化 内容同质化 用户内容生产 BERT模型 

分 类 号：G206.3[文化科学—传播学]