Innovative Paths of Financial Data News Visualization in the AI Era: A Case Study of DT Finance
Chen Hongzhou

Sichuan University Jinjiang College, Sichuan Meishan, 620860;

Abstract：In the era of the Internet and artificial intelligence, where users are overwhelmed by massive amounts of information, data visualization has become essential—particularly in complex fields such as financial journalism. Visual storytelling not only simplifies information processing but also enhances audience engagement and reading experience. This study examines DT Finance’s WeChat and Weibo platforms through content and literature analysis, focusing on visual news content published between 2020 and 2022. By analyzing the strengths and weaknesses of DT Finance’s data visualization practices, this paper aims to identify key challenges in China’s data journalism and propose innovative strategies for the development of visualized news in the AI-driven media landscape.

Keywords: DT finance；data news；visualization；AI Era

Reference

[1] Han, X. (2019). A brief analysis of the innovative path of data journalism visualization. Communication Power Research, 3(25), 3-4.

[2] Kennedy, H., Weber, W., & Engebretsen, M. (2020). Data visualization and transparency in the news. Data visualization in society, 169-185.

[3] Peng, L. (2021). Rethinking the transformation of voice in the new media era. China Editors, 08, 4-8.

[4] Yang, X. Y., & Li, J. F. (2019). Data visualization in the era of big data. Electronic Technology & Software Engineering, 17, 140-141.

[5] Zhai, C. X. (2018). Research on the innovation of financial news "big data" dissemination: A case study of DT Finance. Communication Power Research, 2(36), 52.

[6] Zhang, J. (2022). Research on the narrative optimization path of "DT Finance" data journalism (Master’s thesis). Guangdong University of Technology.