Open AccessThe Exploring on the Supervision of University Public Opinion in the Background of Big Data
Author(s) -
Zuheng Lv,
Jinsong Wang,
Heyuzi Shi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052041
Subject(s) - public opinion , big data , public relations , ideology , political science , control (management) , computer science , politics , data mining , artificial intelligence , law
College public opinion are a reflection of the ideological status of college students and the degree of campus stability. The high frequency and suddenness of public opinion events and the speed and virtuality of the information age have brought new opportunities and challenges to public opinion supervision and public opinion intervention. In the new era, the supervision of network public opinion in colleges and universities should conform to the characteristics of the era of big data, use advanced information technology to improve the efficiency of supervision, and strive to achieve the goal of scientific decision-making management. Based on the major colleges and universities, this paper aims to explore the improvement program of college public opinion supervision under the background of big data. It uses literature review method, research method and experimental method to analyse. This paper analyzed the current situation of network public opinion supervision in colleges, summed up the problems existing in the network of colleges, and constructed a network public opinion supervision platform for colleges under the background of big data.