Research on the application of big data technology in the supervision of radio and television advertising
大数据技术在广播电视广告监管中的应用研究

摘要

随着广播电视广告市场的繁荣，传统监管方式难以满足复杂多变的监管需求。大数据技术凭借强大的数据处理与分析能力，为广播电视广告监管提供了新路径。大数据可对海量广告数据进行实时采集与整合，运用智能分析模型挖掘违规线索，通过建立风险预警机制实现广告投放的动态监管。其应用不仅能提升监管效率，精准定位违规广告，还可优化监管资源配置。但在应用过程中，面临数据安全、技术标准统一等挑战。

Abstract

As the radio and television advertising market flourishes, traditional regulatory methods struggle to meet the complex and ever-changing regulatory needs. Big data technology, with its powerful data processing and analysis capabilities, offers a new approach for regulating radio and television advertisements. Big data can collect and integrate massive amounts of advertising data in real time, use intelligent analysis models to uncover violations, and establish risk warning mechanisms to achieve dynamic supervision of ad placements. Its application not only enhances regulatory efficiency and accurately identifies non-compliant ads but also optimizes regulatory resource allocation. However, during implementation, challenges such as data security and the unification of technical standards remain.