大数据环境下高校网络舆情研究方法探讨  

Discussion on the Methods of Network Public Opinion in Colleges and Universities under Big Data Environment

作　　者：肖晨[1] Xiao Chen(Guangdong University of Foreign Studies,Guangdong Guangzhou 510420)

机构地区：[1]广东外语外贸大学,广东广州510420

出　　处：《科技广场》2017年第3期133-135,共3页Science Mosaic

摘　　要：本文基于系统论视角,采用理论研究、实证分析和系统分析相结合的研究范式,融合信息技术、新闻传播、计算机科学、管理学等多学科的理论与方法,通过对大数据环境下高校网络舆情的现状进行调研,揭示高校网络舆情的类型、存在状态及表现形式;进一步从舆情主体、客体与媒介等多方面阐释其生成动因,并从信息生命周期理论出发分析其演化机制,进而从能力构建的维度提出大数据环境下高校网络舆情的引导策略。From the perspective of system theory,this paper combines the methods of theoretical research,empirical analysis and systematic analysis,and applies theories and methods f5om multiple disciplines,such as information technology,news dissemination,computer science and management. This paper firstly conducts surveys on the status of university network public opinion in the environment of big data,attempting to reveal types,states and forms of u-niversity network public opinion. Furthermore,this paper explores the influencing factors from the subject,object and media, and analyzes its evolution mechanism based on theory of information life cycle, thus putting forward strategies for university network public opinion from the dimensions of capacity-building.

关 键 词：大数据 网络信息 信息融合 系统论 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]