Fusion model for rumor detection based on time series and propagation structure

Junchao Zuo

doi:10.1117/12.2681703

1 June 2023 Fusion model for rumor detection based on time series and propagation structure

Junchao Zuo

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127180W (2023) https://doi.org/10.1117/12.2681703
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

In the information era, rumor detection has gradually become a technology that people urgently need. Rumor detection with a single feature dimension is often not suitable for more complex scenarios. This paper proposes a model based on time series-propagation structure fusion, which can achieve better performance by extracting the characteristics of rumors in the time dimension and the potential features in the propagation process. Experiments are currently carried out on two public Twitter datasets, and the results show that the fusion model in this paper has achieved better performance than the previous method.

Citation Download Citation

Junchao Zuo "Fusion model for rumor detection based on time series and propagation structure", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127180W (1 June 2023); https://doi.org/10.1117/12.2681703

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