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作 者:杨雅妮[1] 石芬琴 YANG Yani;SHI Fenqin(Law School,Lanzhou University,Lanzhou 730000,China)
出 处:《山东科技大学学报(社会科学版)》2025年第1期40-49,共10页Journal of Shandong University of Science and Technology(Social Sciences)
基 金:国家社会科学基金西部项目(21XFX015)。
摘 要:大数据证据是基于海量基础数据,通过算法分析技术进行“再加工”,进而挖掘数据背后规律所形成的证据。通过对176份民事判决书的分析发现,大数据证据作为数字时代的新产物,在法律地位、基础数据采集、算法分析技术审查以及大数据报告鉴定方面面临应用困境。为纾解此困境,进一步挖掘大数据证据的证明价值,应当明确大数据证据的独立法律地位,消解基础数据的采集障碍、加强对算法分析技术的审查判断,并提升大数据报告鉴定的质量。Big data evidence refers to a visual report that is formed based on massive basic data,utilizing algorithmic analysis technology for“re-processing”,in order to mine the laws inherent within the data.An analysis of 176 civil judgments reveals that,although big data evidence has been applied in some civil cases,it faces several application challenges,notably the ambiguity of its legal status,obstacles in basic data collection,and the intricacies of mitigating operational risks associated with algorithmic analysis while ensuring the quality of the resulting big data report.In order to further explore the value of judicial application of big data evidence,it is expected to address these dilemmas.This involves acknowledging the independent legal status of big data evidence,overcoming barriers to the collection of basic data,bolstering the scrutiny and evaluation of algorithmic analysis technology,and enhancing the overall quality of the big data reports produced.By tackling these issues head-on,we can further explore the invaluable contributions that big data evidence can make to the judicial system.
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