Know More, Suffer More

Analysis of the Big Data Discriminatory Price

DOI

10.2991/978-2-494069-31-2_367How to use a DOI?

Keywords

big data discriminatory price; dynamic price; price discrimination; information security; privacy protocols; algorithmic techniques

Abstract

Big data discriminatory price (BDDP) is a kind of misuse of data, where the platform “sets” the user up from the very beginning of the service contract with the user, actively taking the user's surplus for its own benefit in all aspects of information collection, analysis, and utilization. In recent years, the public has become more and more familiar with the concept of big data deception, but people are not sufficiently aware of the ways to defend their rights and are far from being aware of the rights of those who have been discriminated against. In addition to the public's anxiety, governments of various countries also attach great importance to platform infringements in BDDP. The European Union introduced the General Data Protection Regulation in 2018, and the United States has laws that apply to big data practices, including the Fair Credit Reporting Act, the Fair Chance Act, and the Federal Trade Commission Act. China is later than Europe and the US in terms of legislation, having introduced the Personal Information Protection Law of the People's Republic of China and the Data Security Law of the People's Republic of China in 2021, but still confronts many problems in practice, such as the unclear scope of application and unclear related concepts, which need to be flexibly solved by combining more judicial practices and domestic and international experiences. In this paper, we put forward proposals for regulation in terms of departmental supervision, industry self-regulation, and individual rights protection, with a view to forging a better online ecological environment.

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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TY  - CONF
AU  - Jiayi Kang
AU  - Chenlei Shen
AU  - Yuchen Yue
PY  - 2022
DA  - 2022/12/29
TI  - Know More, Suffer More
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 3128
EP  - 3139
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_367
DO  - 10.2991/978-2-494069-31-2_367
ID  - Kang2022
ER  -