基于信息认知的微博评论影响力模型与机理研究  

Research on the Influence Model and Mechanism of Microblog Comments Based on Information Cognition

作　　者：王睿 任福兵[1] Wang Rui;Ren Fubing(Institute of Science and Technology Information,East China University of Science and Technology,Shanghai 200237)

机构地区：[1]华东理工大学科技信息研究所,上海200237

出　　处：《情报探索》2024年第7期1-9,共9页Information Research

基　　金：国家社会科学基金项目“知识运用理论视角下高校智库服务政府决策的制约因素及其对策研究”(项目编号:BIA170197)成果。

摘　　要：[目的/意义]微博评论的泛滥使信息真实性和价值辨别变得困难,加之评论中主观意见的扩散和放大,加剧了信息失序现象。因此深入识别微博评论影响力的成因显得尤为关键。[方法/过程]借鉴信息认知理论和网络传播效果模型,提出“认知—态度—影响力”框架,用以构建微博评论影响力模型;运用问卷调查搜集数据,并借助SPSS和AMOS软件进行数据分析和假设检验。[结果/结论]评论新颖性、评论热度和议题热度正向影响好奇心理;评论相似性、评论新颖性、评论热度、群际情绪和心流体验正向影响感知有用性;好奇心理正向影响心流体验;好奇心理和感知有用性与评论影响力正相关。据此,本文提出了微博评论影响力治理对策,以维护微博生态系统的健康和稳定。[Purpose/significance]The proliferation of microblog comments makes it difficult to distinguish the authenticity and value of information.In addition,the diffusion and amplification of subjective opinions in comments aggravate the phenomenon of information disorder.Therefore,it is particularly critical to deeply identify the causes of the influence of microblog comments.[Method/process]Based on the information cognition theory and the network communication effect model,this paper proposes a“cognition-attitude-influence”framework to construct the influence model of microblog comments,and uses the questionnaire survey to collect data,and with the aid of SPSS and AMOS software for data analysis and hypothesis testing.[Result/conclusion]Comment novelty,comment popularity and topic popularity positively affect curiosity;comment similarity,comment novelty,comment popularity,intergroup emotion and flow experience positively affect perceived usefulness;curiosity positively affects flow experience;curiosity and perceived usefulness are positively correlated with the influence of comments.Based on this,this paper puts forward the countermeasures to control the influence of microblog comments,so as to maintain the health and stability of microblog ecosystem.

关 键 词：认知 微博评论 影响力 行为机理 

分 类 号：G206[文化科学—传播学]