Design and implementation of news media data capture and visualization system based on LOD technology

In order to facilitate the management and analysis of large-scale cyberspace news media data, mining its potential resource information. The data of 106 mainstream news media around the world was obtained from Facebook, Twitter and Reddit through web crawler technology, and the data was cleaned, processed and analyzed by library tools such as Math and Pandas to extract valuable information and trends. Using Echarts chart library and JS front-end framework to display and visualize data in multiple dimensions in the form of topological chart, line chart and pie chart, a set of big data visualization framework for news media is designed. The results show that this framework can better understand and master the dynamic situation of global mainstream news media, and provide support and reference for news media decision-making and strategic planning. Through visual presentations, users can analyze and leverage news media data from a more holistic perspective, providing important information and insights for decision makers. This visualization framework for big data for news media helps to strengthen the insight and competitiveness of the news media industry.