Paper
16 January 2025 Research on false propaganda detection technology based on LLM and BERT
Lidong Xing, Nannan Hou, Zhiqing Zhang, Ke Li, Fangxu Meng
Author Affiliations +
Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134470E (2025) https://doi.org/10.1117/12.3054714
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
Abstract
False propaganda, as one of the unfair competition behaviors, seriously damages consumer rights and disrupts market order. This article aims to design a false propaganda detection technology based on LLM and BERT for dishonest behavior caused by false propaganda. By annotating false propaganda text data with LLM and training a false propaganda detection model based on BERT, the rapid development of the false propaganda detection model and effective cost savings in manual annotation have been achieved. The results show that this method has good performance and efficiency, and can meet practical engineering needs. It has certain application and reference value for model development in market supervision fields such as false propaganda.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lidong Xing, Nannan Hou, Zhiqing Zhang, Ke Li, and Fangxu Meng "Research on false propaganda detection technology based on LLM and BERT", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134470E (16 January 2025); https://doi.org/10.1117/12.3054714
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KEYWORDS
Data modeling

Education and training

Semantics

Process modeling

Feature extraction

Performance modeling

Transformers

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