Research on the Application of Big Data Technology in News Reports on Rural Revitalization and Inclusive Finance in the Era of Intelligent Media
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Research on the Application of Big Data Technology in News Reports on Rural Revitalization and Inclusive Finance in the Era of Intelligent Media

Guanzheng Wu 1*
1 Guangzhou Huali College
*Corresponding author: gzwu555@uest.edu.gr
Published on 27 August 2025
Journal Cover
LNEP Vol.116
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-331-4
ISBN (Online): 978-1-80590-332-1
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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.

Keywords:

Big data technology, rural revitalization, inclusive finance, news reports

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Wu,G. (2025). Research on the Application of Big Data Technology in News Reports on Rural Revitalization and Inclusive Finance in the Era of Intelligent Media. Lecture Notes in Education Psychology and Public Media,116,57-64.

References

[1]. Huang X. B. Data-driven news business: Optimizing news production with big data. Journalist Cradle, 2025(3): 132–134.

[2]. Wang Q. “Data-driven” and “narrative-driven”: The dual drivers of data journalism production. Editors' Friend, 2015(3): 80–84.

[3]. Liu Y. K. Data journalism production in the big data era: Current situation, influence and reflection. Modern Communication (Journal of Communication University of China), 2014, 36(11): 103–106.

[4]. Xiao J. X. Research on the production dilemmas and optimization paths of the reports on rural revitalization by Xinhua Daily Telegraph. Jiangxi University of Finance and Economics, 2020.

[5]. Yu Y. Technology empowerment and re-shaping of the community: Research on digital media and rural social development. Nanchang University, 2024.

[6]. Chen H., Hu X. L. The application and optimization path of blockchain technology in rural inclusive finance. Northern Finance Journal, 2020(4): 21–24.

[7]. Xing Y. The “dividends” and “gaps” of rural digital inclusive finance. Economist, 2021(2): 102–111.

[8]. Ding C. W., He B. Q., Wang B. Research on digital inclusive finance, financing constraints and the sustainable development of small and medium-sized enterprises: Empirical analysis based on the data of small and medium-sized enterprises on the Growth Enterprise Market. Journal of Chaohu University, 2023, 25(3): 37–48.

[9]. Li J. W., Gao Y. C., Wang W. Attracting “homing swallows”: Can digital inclusive finance improve the willingness of labor force to return? Finance & Economics, 2024(12): 69–79.

[10]. Li F. T. Research on the mechanism and effect measurement of digital inclusive finance promoting common prosperity in Northeast China. Lanzhou University of Finance and Economics, 2024.

Cite this article

Wu,G. (2025). Research on the Application of Big Data Technology in News Reports on Rural Revitalization and Inclusive Finance in the Era of Intelligent Media. Lecture Notes in Education Psychology and Public Media,116,57-64.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceeding of ICIHCS 2025 Symposium: Exploring Community Engagement: Identity, (In)equality, and Cultural Representation

ISBN: 978-1-80590-331-4(Print) / 978-1-80590-332-1(Online)
Editor: Enrique Mallen, Nafhesa Ali
Conference date: 29 September 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.116
ISSN: 2753-7048(Print) / 2753-7056(Online)