Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Bibliometric Analysis of Algorithmic Power in China Based on CiteSpace

Authors
Wendan Lv1, 2, *
1School of Government Management, Shenzhen University, Shenzhen, China
2Institute of Urban Governance, Shenzhen University, Shenzhen, China
*Corresponding author. Email: chaot37430@163.com
Corresponding Author
Wendan Lv
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_27How to use a DOI?
Keywords
algorithmic power; domestic and international; research status; CiteSpace
Abstract

Recently, more and more attention has been paid to the research of algorithmic power. This study used CiteSpace software to visualize and analyze 1084 literatures. The results show that: (1) Research on algorithmic power first appeared in the early 21st century, showing long-term stability and short-term fluctuant growth; (2) High-yield authors in this field have not formed yet, and the cooperation between researchers and research institutions is relatively loose; (3) Through the analysis of key words in the research on algorithms and power, there are mainly three research focuses in the academia: the definition of algorithmic power, the risk of algorithmic power, and the legal regulation of algorithmic power; and (4) With the emergence of many problems such as “algorithmic discrimination”, “information cocoon room”, “algorithmic gap”, “big data killing”, “algorithmic tyranny” and so on, the systematic research on algorithmic power has become a major concern of scholars at present without hindering their development.

Copyright
© 2023 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 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-024-4_27
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_27How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Wendan Lv
PY  - 2022
DA  - 2022/12/12
TI  - Bibliometric Analysis of Algorithmic Power in China Based on CiteSpace
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 255
EP  - 262
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_27
DO  - 10.2991/978-94-6463-024-4_27
ID  - Lv2022
ER  -