Development Opportunities and Breakthrough Paths of Data Journalism in the Context of AIGC

DOI

10.2991/978-2-38476-323-8_65How to use a DOI?

Keywords

Data Journalism; AIGC; Innovation-driven development

Abstract

Generative AI provides multiple innovative paths for the development of data journalism, empowering all aspects of data journalism, from automated news production, enhanced data visualization to personalized news generation, cross-media integration. Generative AI has great potential for application in the data journalism industry, but it also brings new challenges such as data ethics and news authenticity. Journalists and institutions need to take the initiative to break through the bottleneck of data journalism development through innovation in automated data journalism production, enhanced data visualization and interactive experience, data-driven in-depth analysis, and cross-media integration. In order to promote the high-quality development of data journalism.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qianhui Jia
PY  - 2024
DA  - 2024/12/23
TI  - Development Opportunities and Breakthrough Paths of Data Journalism in the Context of AIGC
BT  - Proceedings of the 2024 7th International Conference on Humanities Education and Social Sciences (ICHESS 2024)
PB  - Atlantis Press
SP  - 560
EP  - 567
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-323-8_65
DO  - 10.2991/978-2-38476-323-8_65
ID  - Jia2024
ER  -