摘要
大数据证据是大数据与法律领域深度融合的产物。作为一种新型证据形式,大数据证据数据体量巨大且高度依赖算法技术,具有与传统证据不同的特征。大数据证据的主要审查内容是相关性和真实性。相关性包括数据相关性、技术相关性和结论相关性三个方面,真实性同样涉及数据真实性、技术真实性和结论真实性三个方面。为构建科学合理的大数据证据审查体系,应明确大数据证据的法律地位,创建大数据证据的审查规则,完善大数据证据的质证机制。
Big data evidence is the product of deep integration of big data and the legal field.As a new form of evidence,the volume of big data evidence data is huge and highly dependent on algorithm technology,which displays different characteristics from that of traditional evidence.The main content of review of big data evidence is correlation and authenticity.Correlation includes data correlation,technical correlation and conclusion correlation,while authenticity also involves data authenticity,technical authenticity and conclusion authenticity.In order to build a scientific and reasonable review of big data evidence,it is necessary to clarify the legal status of big data evidence,create the rules for review of big data evidence,and improve the cross-examination mechanism of big data evidence.
作者
左青青
ZUO Qingqing(School of Criminal Law,East China University of Political Science and Law,Shanghai 200042,China)
出处
《内江师范学院学报》
CAS
2023年第5期101-106,共6页
Journal of Neijiang Normal University
关键词
大数据证据
证据审查
相关性
真实性
big data evidences
evidence review
correlation
authenticity
