Infringement and Protection in Personal Information on Data Mining

Different from the personal information processing stage such as collection and analysis, the infringement of personal information by Data Mining is based on the mining process and mining results. On the basis of analyzing the operation mechanism and technical characteristics of Data Mining, there are four forms of infringement of personal information Data Mining. Specific manifestations are as follows: manifested as data labeling and unfavorable evaluation, information cocoons and passive autonomy, social sorting and data discrimination, information association and personal privacy infringement. The automatic decision-making and black box of Data Mining, the constructiveness and hiding of mining infringement behaviors, and the difficulty and challenge of infringement results pose the challenges and shortcomings of the current infringement law of personal information Data Mining in China. Finally puts forward the path to improve the legal protection of personal information, that is introducing the rules of due process, restricting the data power of Data Mining organizations, and establishing channels and procedures for effective interaction between Data Mining organizations and subjects of personal information.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3728725.3728797
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
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article

Infringement and Protection in Personal Information on Data Mining

Mengxue Zuo
Privacy-Preserving Technologies in Data
article

Infringement and Protection in Personal Information on Data Mining

Mengxue Zuo
article en

Abstract

Different from the personal information processing stage such as collection and analysis, the infringement of personal information by Data Mining is based on the mining process and mining results. On the basis of analyzing the operation mechanism and technical characteristics of Data Mining, there are four forms of infringement of personal information Data Mining. Specific manifestations are as follows: manifested as data labeling and unfavorable evaluation, information cocoons and passive autonomy, social sorting and data discrimination, information association and personal privacy infringement. The automatic decision-making and black box of Data Mining, the constructiveness and hiding of mining infringement behaviors, and the difficulty and challenge of infringement results pose the challenges and shortcomings of the current infringement law of personal information Data Mining in China. Finally puts forward the path to improve the legal protection of personal information, that is introducing the rules of due process, restricting the data power of Data Mining organizations, and establishing channels and procedures for effective interaction between Data Mining organizations and subjects of personal information.

Xi'an Jiaotong University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 94%
Privacy-Preserving Technologies in Data
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Infringement and Protection in Personal Information on Data Mining — Mengxue Zuo · (2025) | TGRS Research Map | TGRS