Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)

Sociological Analysis of Big Data “Deceive an Acquaintance” Phenomenon in the Internet Era

Authors
Jingyu Chu
Corresponding Author
Jingyu Chu
Available Online 20 May 2021.
DOI
10.2991/assehr.k.210519.070How to use a DOI?
Keywords
Big data “Deceive an acquaintance”, Generation logic, Problem, Governance path
Abstract

In the Internet era, the application technology of big data is widespread. However, in recent years, the phenomenon of “Deceive an acquaintance” of big data frequently occurs, which has a negative impact on the society. This paper analyzes and summarizes the concept, logic and existing problems of big data “killing the ripe” by combining with relevant cases of big data “killing the ripe”, and puts forward relevant governance paths, in order to control the phenomenon of big data “killing the ripe” and maintain a good Internet environment.

Copyright
© 2021, 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 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
20 May 2021
ISBN
978-94-6239-381-3
ISSN
2352-5398
DOI
10.2991/assehr.k.210519.070How to use a DOI?
Copyright
© 2021, 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  - Jingyu Chu
PY  - 2021
DA  - 2021/05/20
TI  - Sociological Analysis of Big Data “Deceive an Acquaintance” Phenomenon in the Internet Era
BT  - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)
PB  - Atlantis Press
SP  - 358
EP  - 361
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210519.070
DO  - 10.2991/assehr.k.210519.070
ID  - Chu2021
ER  -