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信息网络犯罪案件抽样取证之困境审思与路径优化

Dilemma Consideration and Path Optimization of Sampling Evidence Collection in Information Cyber Crime Cases

Criminal Justice Science & Governance / 2025,6(1): 174-182 / 2025-04-29 26 27

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• Authors: 史家兴     
• Information:

  中南财经政法大学刑事司法学院，武汉

• Keywords: Information network crime; Massive evidence; Sampling evidence collection; Proof method 信息网络犯罪；海量证据；抽样取证；证明方法
• Abstract: In the information age, there is a high incidence of information network crime. The massive evidence produced by this kind of crime brings difficulties to judicial proof activities, and criminal sampling and forensics play a great role and value in alleviating the dilemma. However, in practice, sampling forensics is faced with such realistic dilemmas as lack of forensic program design, unclear forensic method, unclear standard of proof, and insufficient protection of the rights of the accused. Therefore, this paper considers the practical dilemmas of sampling forensics, and explores the optimization path of sampling forensics from three dimensions: sampling forensics program design, sampling forensics scope, and protection of the rights of the accused. So that it can better play its unique proof value under the visual threshold of information network crime. 在信息化时代，信息网络犯罪呈现高发态势。该类犯罪产生的海量证据为司法证明带来困难，而抽样取证为纾解信息网络犯罪海量证据的取证困境提供了有益探索。然而，抽样取证这一新兴取证方式还面临着适用范围不明确、适用标准不明晰、程序设计阙如、被追诉人权利保障机制不健全等现实困境。对此，需要从明确抽样取证适用限制、完善程序设计以及健全被追诉人权利保障机制三个维度出发，探索抽样取证的优化路径，从而推动这一取证方法的规范化运作，使其在信息网络犯罪案件中更好地发挥其独特的证明价值。
• DOI: https://doi.org/10.35534/cjsg.0601019
• Cite: 史家兴．信息网络犯罪案件抽样取证之困境审思与路径优化［J］．刑事司法科学与治理，2025，6（1）：174-182．