How to Achieve Justice through Big Data: A Study Based on Credit Card Cases in Beijing

TL;DR

This study analyzes credit card dispute cases in Beijing using social network analysis on big data to improve judicial efficiency and promote justice in the digital era.

Contribution

It introduces a novel methodology combining big data and social network analysis to assist judicial trials in credit card disputes.

Findings

Identifies legal relationships in credit card disputes using social network metrics.

Creates a comprehensive database of relevant cases and laws.

Provides practical insights for digital court systems and judicial decision-making.

Abstract

With the development of intelligence, the combination of big data and judicial practice has become a hot research topic. There are fewer studies on credit card contract disputes related to big data, which makes it difficult to respond to the trend of Big data era. This paper uses the data source of credit card disputes related to the protection of personal information in Beijing from 2022 to 2024, introduces a social network analysis methodology to analyse validated judgements and creates a database. Through the analysis of the relationship network indicators of applicable laws and regulations, it can clearly show the laws and regulations applicable to this type of dispute in China in terms of substantive and procedural matters. This paper provides a methodology for combining big data with judicial trials and assisting judges in trials. The effective use of social networks will help fill the gap in the application of big data in judicial trials. The result and discussion of the paper is also of practical significance for improving the efficiency of judicial adjudication, constructing a database for searching classified cases, constructing a holistic system for digital courts, and finally promoting justice.