Criminal Law Protection of Citizens’ Personal Information in the Big Data

Xiang Fu, Guang‐Long Wang
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Abstract

In the Big Data, Chinese society is affected by data technology, and the collection and analysis of information is no longer a random and unpredictable process. Digital citizens’ personal information contains huge interests. Therefore, it is necessary to deal with the relationship between social development under the background of Big Data and cracking down on citizens’ personal information crimes. By sorting out the existing Chinese criminal law norms of citizens’ personal information, and based on the three perspectives of criminal law concept, criminal law legislation and criminal justice, this paper analyzes the punishment and responsibility of infringing citizens’ personal information in China. Finally, based on the dual evaluation model of qualitative and quantitative crime in China, the infringing of citizens’ personal information is regarded as a circumstance crime, and the involved elements of circumstances directly determine the sentencing of the perpetrator. The lack of interpretation in Chinese judicial documents and the incomplete determination of circumstances lead to the discrepancy of case results, resulting in the criminal justice punishment of different judgments in the same case. For the comprehensive determination of the criminal circumstances of infringing on citizens’ personal information, the strategy of focusing on quantitative standards and supplemented by non-quantitative standards is adopted to realize the comprehensive determination and accurate classification of cases and highlight the value of criminal law.
大数据环境下公民个人信息的刑法保护
在大数据时代,中国社会受到数据技术的影响,信息的收集和分析不再是一个随机和不可预测的过程。数字公民的个人信息蕴含着巨大的利益。因此,有必要处理好大数据背景下社会发展与打击公民个人信息犯罪的关系。本文通过对我国现行公民个人信息刑法规范的梳理,从刑法理念、刑法立法和刑事司法三个角度,分析了中国侵犯公民个人信息的处罚与责任。最后,在中国定性犯罪与定量犯罪双重评价模型的基础上,将侵犯公民个人信息视为情节犯罪,情节所涉要件直接决定行为人的量刑。我国司法文书解释的缺失和情节认定的不完全,导致案件结果的差异,造成同一案件不同判决的刑事司法处罚。对侵犯公民个人信息犯罪情节的综合认定,采取以定量标准为主、非定量标准为辅的策略,实现对案件的全面认定和准确分类,凸显刑法的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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