Abstract
As the last node of data journalism creation, visual design plays a crucial role in the transmission of data information. Exploring the routes to improve the quality of data journalism at the visual language and interaction design, this paper analyzes the works won data journalism awards and produced by well-known media from 2012 to 2019, and discusses the misunderstandings and shortcomings in the current data journalism visualization practice. This paper presents the improvement routes of data mapping, symbolic expression, interaction level, and interactive narration.
Cite
CITATION STYLE
Chen, Z., & Guo, W. (2020). Innovative Research on the Improvement of Visual Quality of Data Journalism in China: Visual Language and Interaction Design. In Journal of Physics: Conference Series (Vol. 1518). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1518/1/012030
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