Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)

The Research on the Way out of Chinese Traditional Media in Big Data

Authors
Shuang WEI
Corresponding Author
Shuang WEI
Available Online April 2018.
DOI
https://doi.org/10.2991/mess-18.2018.61How to use a DOI?
Keywords
Big Data ,Chinese Traditional Traditional ,the Way out.
Abstract
Since the beginning of 2013, with the popularity of mobile Internet, the use of things, the promotion of cloud computing technology, the arrival of Chinese Traditional Media in the era ofbig data in the face of an unprecedented survival crisis, but also some of the Chinese Traditional Media takebig data of the wind This paper is based on the dilution of the right of the Chinese Traditional Media media, the weakening of the media agenda, the lack of talent structure, the lack of compound talents, the realistic dilemma of the decline of the audience and the decline of loyalty. News gatekeeper, promote media integration, strengthen the visualization of news expression, cultivate professional compound talents 5 levels, to explore the era of large media under the Chinese Traditional Media.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
978-94-6252-526-9
ISSN
2352-5398
DOI
https://doi.org/10.2991/mess-18.2018.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuang WEI
PY  - 2018/04
DA  - 2018/04
TI  - The Research on the Way out of Chinese Traditional Media in Big Data
BT  - 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
PB  - Atlantis Press
SP  - 331
EP  - 335
SN  - 2352-5398
UR  - https://doi.org/10.2991/mess-18.2018.61
DO  - https://doi.org/10.2991/mess-18.2018.61
ID  - WEI2018/04
ER  -