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Constructing The Deliberative Democracy Platform In The Era Of Big Data

Posted on:2017-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:D M LiangFull Text:PDF
GTID:2296330485497803Subject:Communication
Abstract/Summary:PDF Full Text Request
Big Data, the human exploration of new frontiers in the 21st century, with unstoppable trend sweeping the world, deeply affects people’s thinking, working and living, the era of opened a major transformation. With the rapid development of the technology, people have become more concerned about social affairs and political events and the Internet has offered a platform for public opinions. Online political discussion has become an important way for the citizens to exercise their rights of information, participation, expression and supervision. More and more Internet users tend to express their opinions which sometimes do influence the government’s decision-making. More and more social events and social problems exposed on the Internet ignite heated online debates. Online democracy and political consultation have gradually come into the public spotlight. In the era of big data, online democracy is a double-edged sword which presents both opportunities and challenges. This essay sheds new light on this subject.This essay mainly explores the Guangxi CPPCC online politics construction in the era of big data from the following aspects:the necessity of deliberative democracy platform in the era of big data, the methods to build the platform, its basic framework, possible difficulties during its construction and the conception of Guangxi CPPCC to promote online politics construction and so on. The essay conveys that the CPPCC, an important organization for deliberative democracy, has its own advantages in the era of big data. It is important to explore a unique way to develop the Guangxi CPPCC online politics platform which will surely enhance the building of democratic socialism as a whole.
Keywords/Search Tags:big data, deliberative democracy, online political consultation
PDF Full Text Request
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