Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)

Explain the Phenomenon of “Ripening” of Big Data Based on Technical and Social Aspects

Authors
Rui Gong1, *
1Department of Business, Shanghai University of Engineering Science, Shanghai, 201620, China
*Corresponding author. Email: grsmile1998@163.com
Corresponding Author
Rui Gong
Available Online 29 December 2022.
DOI
10.2991/978-2-494069-31-2_401How to use a DOI?
Keywords
big data “ripening”; Social dimension; Technical level; Coping strategies
Abstract

Nowadays, life has been occupied by digitalization, which brings many conveniences as well as negative effects. Big data technology can make information explode and spread widely, and can promote the leapfrog development of the country. But at the same time, big data technology is also a double-edged sword, and the “maturity” of big data is one of its shortcomings. In order to effectively curb the phenomenon of big data ripening, ensure the maximum interests of users, and provide theoretical support for dealing with the phenomenon of big data “ripening”. First, define the definition of big data “killing ripe”; Secondly, analyze the reasons for the phenomenon of big data “killing ripe” from the social level; Analyze the principle of big data “killing ripe” from the technical level. Finally, countermeasures are put forward to curb the phenomenon of big data maturity. The phenomenon of big data “killing” is the result of the joint action of consumers, platforms and laws. It is suggested to start with enterprises, consumers, relevant departments and national laws to curb the phenomenon of big data “killing”.

Copyright
© 2022 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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Volume Title
Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 December 2022
ISBN
10.2991/978-2-494069-31-2_401
ISSN
2352-5398
DOI
10.2991/978-2-494069-31-2_401How to use a DOI?
Copyright
© 2022 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.

Cite this article

TY  - CONF
AU  - Rui Gong
PY  - 2022
DA  - 2022/12/29
TI  - Explain the Phenomenon of “Ripening” of Big Data Based on Technical and Social Aspects
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 3418
EP  - 3425
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_401
DO  - 10.2991/978-2-494069-31-2_401
ID  - Gong2022
ER  -