Research on the Application of Big Data Technology in News Reports on Rural Revitalization and Inclusive Finance in the Era of Intelligent Media
Abstract
In the era of intelligent media, big data technology has provided a brand-new path for reform in news reports on rural revitalization and inclusive finance. This study adopts literature analysis and case study methods to systematically explore the application scenarios, challenges, and optimization paths of big data technology in relevant news reports. The results show that big data technology has significantly improved the accuracy and communication power of reports through the digitization of news collection, the regularization of news analysis, and the visualization of news presentation. However, it also faces problems such as scattered data sources, high technical thresholds, and information cocoons. By means of optimization paths such as building data sharing platforms, cultivating interdisciplinary talents with expertise in "data + journalism", and designing anti-cocoon strategies, the in-depth integration of big data technology with news reports on rural revitalization and inclusive finance can be effectively promoted, thereby providing strong public opinion support for the development of related undertakings.
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