Research Article

Big Data in China: Bigger Problems, Easier Solutions or Both?

Volume: 3 Number: 1 June 1, 2019

Big Data in China: Bigger Problems, Easier Solutions or Both?

Abstract

Just like the case in any other power centers of the world, such as U.S., Europe and Russia, big data in China have information-wise polarized the researchers. On the one hand, some have been excited about the opportunities big data will bring to scientific research (e.g. new discoveries already made in medical research); on the other, some others are worried about increased level of privacy violations. Possibly because of the difficulties in self-expression within the political context of China, other more detailed objections to the use of big data by governments and corporations are rarely discussed with regard to China. While Chinese government implements the social credit system which is based on the big data of each citizen collected by any surveillance device –unethical ones included, so far this system has not been discussed extensively within academic circles. However, such a system can be a model for other countries and become a global nightmare rather than a Chinese one only. This social credit system is closely related with the notion of Internet of Things which appears to be benign at first blush, but has the potential for misuse and abuse in the hands of authoritarian governments and greedy corporations. The lines between public and private will be blurred by the advent of Internet of Things which will make any electronic device capable of transferring data to the Big Brother.

In this article, big data discussions, both pros and cons are presented and other themes that are understudied in China are also listed.  

Keywords

References

  1. Adame, B. J. (2016). Training in the mitigation of anchoring bias: A test of the consider-the-opposite strategy. Learning and Motivation, 53, 36-48.
  2. Baack, S. (2015). Datafication and empowerment: How the open data movement re-articulates notions of democracy, participation, and journalism. Big Data & Society, 2(2), 2053951715594634.
  3. Begue, L., & Bastounis, M. (2003). Two spheres of belief in justice: Extensive support for the bidimensional model of belief in a just world. Journal of Personality, 71(3), 435-463.
  4. Berghel, H. (2018). Malice Domestic: The Cambridge Analytica Dystopia. Computer, 5, 84-89.
  5. Berthelot, J. M., Nizard, J., & Maugars, Y. (2018). The Negative Hawthorne Effect: Explaining Pain Overexpression. Joint Bone Spine. doi: 10.1016/j.jbspin.2018.10.003
  6. Berwick, A. (2018). How ZTE helps Venezuela create China-style social control.
  7. Reuters, 14.11.2018. https://www.reuters.com/investigates/special-report/venezuela-zte/
  8. Bissell, K., & Parrott, S. (2013). Prejudice: The role of the media in the development of social bias. Journalism & Communication Monographs, 15(4), 219-270.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

June 1, 2019

Submission Date

March 1, 2019

Acceptance Date

April 1, 2019

Published in Issue

Year 2019 Volume: 3 Number: 1

APA
Gezgin, U. B., & Yıldırım, F. (2019). Big Data in China: Bigger Problems, Easier Solutions or Both? Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi, 3(1), 101-120. https://izlik.org/JA33WD38ST
AMA
1.Gezgin UB, Yıldırım F. Big Data in China: Bigger Problems, Easier Solutions or Both? Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi. 2019;3(1):101-120. https://izlik.org/JA33WD38ST
Chicago
Gezgin, Ulaş Başar, and Fatma Yıldırım. 2019. “Big Data in China: Bigger Problems, Easier Solutions or Both?”. Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi 3 (1): 101-20. https://izlik.org/JA33WD38ST.
EndNote
Gezgin UB, Yıldırım F (June 1, 2019) Big Data in China: Bigger Problems, Easier Solutions or Both? Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi 3 1 101–120.
IEEE
[1]U. B. Gezgin and F. Yıldırım, “Big Data in China: Bigger Problems, Easier Solutions or Both?”, Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi, vol. 3, no. 1, pp. 101–120, June 2019, [Online]. Available: https://izlik.org/JA33WD38ST
ISNAD
Gezgin, Ulaş Başar - Yıldırım, Fatma. “Big Data in China: Bigger Problems, Easier Solutions or Both?”. Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi 3/1 (June 1, 2019): 101-120. https://izlik.org/JA33WD38ST.
JAMA
1.Gezgin UB, Yıldırım F. Big Data in China: Bigger Problems, Easier Solutions or Both? Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi. 2019;3:101–120.
MLA
Gezgin, Ulaş Başar, and Fatma Yıldırım. “Big Data in China: Bigger Problems, Easier Solutions or Both?”. Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi, vol. 3, no. 1, June 2019, pp. 101-20, https://izlik.org/JA33WD38ST.
Vancouver
1.Ulaş Başar Gezgin, Fatma Yıldırım. Big Data in China: Bigger Problems, Easier Solutions or Both? Asya Araştırmaları Uluslararası Sosyal Bilimler Dergisi [Internet]. 2019 Jun. 1;3(1):101-20. Available from: https://izlik.org/JA33WD38ST
Asian Studies International Journal of Social Sciences is licensed under a Creative Commons Attribution-Non Commercial 4.0 (CC BY NC) International License