Proceedings of the First China Xijing Intelligent Media Forum (CXIMF 2020)

New Mode of News Report of “VR + Data News”

Authors
Zhongjie Shen
Corresponding Author
Zhongjie Shen
Available Online 4 November 2020.
DOI
https://doi.org/10.2991/assehr.k.201102.004How to use a DOI?
Keywords
data news, VR engine, VR + data news
Abstract

The combination of VR technology and data news brings new experience mode to news communication and changes the original narrative mode of news.VR + data news makes the audience immerse in the virtual data news scene with glasses, and feel the impact of data on the environment by manipulating the change of data.Data changes cause changes and fluctuations in the environment. The production ideas and processes of VR + data news are relatively complex, and it needs a lot of capital investment to produce VR data news. This paper discusses the technical points, production ideas and processes, and challenges brought by VR + data news, hoping to provide rich production experience for the industry. It provides a powerful reference for the development of VR + data news in China.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First China Xijing Intelligent Media Forum (CXIMF 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 November 2020
ISBN
978-94-6239-267-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201102.004How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhongjie Shen
PY  - 2020
DA  - 2020/11/04
TI  - New Mode of News Report of “VR + Data News”
BT  - Proceedings of the First China Xijing Intelligent Media Forum (CXIMF 2020)
PB  - Atlantis Press
SP  - 20
EP  - 24
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201102.004
DO  - https://doi.org/10.2991/assehr.k.201102.004
ID  - Shen2020
ER  -