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大数据时代挖掘隐私证据的可采性原则研究

发布时间:2019-04-10 14:47
【摘要】:在大数据时代,物理空间与数据空间对接后,个人行为和生活细节被数据化,这些海量的碎片化数据不涉及识别公民个人信息记录,依靠人力很难找出其潜在的相关性,而挖掘技术却能将这些毫无关联的元数据整合成隐私信息,让个人生活轨迹变得"透明"。在传统法律的框架下,这些隐私证据遭遇不能以非法证据排除的实务尴尬和理论尴尬。为了将隐私证据的危害降低到社会可接受的程度,亟须研究大数据时代挖掘隐私证据的可采性原则,以期构建"网眼"熟人社会下的良性秩序与可容忍的隐私观,推动人类数字文明时代的法治进步。
[Abstract]:In the era of big data, after the physical space and data space were docked, personal behavior and life details were digitized. These massive fragmented data did not involve the identification of citizens' personal information records, and it was difficult to find out their potential relevance by manpower. However, mining technology can integrate these irrelevant metadata into privacy information, and make the personal life trajectory transparent. In the framework of traditional law, these privacy evidence encounter practical embarrassment and theoretical embarrassment that can not be excluded by illegal evidence. In order to reduce the harm of privacy evidence to a socially acceptable level, it is imperative to study the admissibility principle of mining privacy evidence in big data's era, with a view to constructing a benign order and tolerable privacy view under the "mesh" acquaintance society. To promote the rule of law in the era of human digital civilization.
【作者单位】: 中南财经政法大学刑事司法学院;
【基金】:国家社科基金项目“大数据时代电子文件的证据规则与管理法制建设研究”(16BFX033)
【分类号】:D925.2

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