Open AccessInvestigation on the Development Trend and Characteristics of Media Convergence Based on Big Data Analysis
Author(s) -
Ping Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/2/022130
Subject(s) - convergence (economics) , technological convergence , big data , china , social media , computer science , data science , political science , telecommunications , economics , data mining , economic growth , world wide web , law
Under the background of big data analysis, the development of traditional media has been unable to adapt to the trend of social history, and the integration of new and old media has become the inevitable trend of media development. At present, China’s new and old media has emerged an effective trend of integrated development, the speed of development is also fast. However, China’s media convergence is still at a shallow level, and further efforts are needed to achieve a deep level of media convergence. The purpose of this paper is to explore the trend and characteristics of media convergence under the background of big data analysis. This paper first discusses the related concepts of big data analysis and media convergence, and then analyzes the opportunities and challenges brought by big data analysis to media convergence. Then through the investigation and experiment of media convergence development, we draw some conclusions about the current situation and characteristics of China’s media convergence development, and put forward the specific development trend of China’s media convergence in the future. The experiments in this paper show that the current media convergence shows a good development trend, showing the development characteristics of diversified, personalized and precise media forms.