Big data methods and news communication innovation from theoretical definition to operational route

Author:

Jin Xin1,Hua Yucheng1,Tang Qiao1

Affiliation:

1. 1 School of Art and Design , Shaanxi University of Science and Technology , Xi’an, Shaanxi, 710021 , China .

Abstract

Abstract To make news communication better adapt to the era of big data, it is necessary to innovate news communication. Accordingly, this paper constructs a big data analysis platform for news communication innovation methods based on the regression analysis model in big data analysis, determines the parameters and coefficients of the regression model with the help of the maximum likelihood estimation method, and determines the form of the regression model. Based on the platform, the main paths of news communication innovation are analyzed, standardized regression coefficients are calculated, and the main methods of news communication innovation are changing news communication forms and news communication media. To verify that the above methods can make news communication innovative, we designed a visualization information platform to change the news communication format and launched a simulation experiment to analyze the effect of news communication under different media. The results showed that after the visualization of the news communication format, the number of viewers of news programs increased from 2.45 million to 3.65 million, an increase of 1.2 million. The conversion rate of audience behavior of news programs increased from the original 63% to 87%, an increase of 24%. From the above results, it is clear that news communication under the big data approach has improved from a theoretical definition to an operational route.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference27 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3