Modeling microscopic and macroscopic information diffusion for rumor detection

International Journal of Intelligent Systems, vol. 36, pp. 5449–5471

Abstract

Researchers have exerted tremendous effort in designing ways to detect and identify rumors automatically. Traditional approaches focus on feature engineering, which requires extensive manual efforts and are difficult to generalize to different domains. Recently, deep learning solutions have emerged as the de facto methods which detect online rumors in an end-to-end manner. However, they still fail to fully capture the dissemination patterns of rumors. In this study, we propose a novel diffusion-based rumor detection model, called Macroscopic and Microscopic-aware Rumor Detection, to explore the full-scale diffusion patterns of information. It leverages graph neural networks to learn the macroscopic diffusion of rumor propagation and capture microscopic diffusion patterns using bidirectional recurrent neural networks while taking into account the user-time series. Moreover, it leverages knowledge distillation technique to create a more informative student model and further improve the model performance. Experiments conducted on two real-world data sets demonstrate that our method achieves significant accuracy improvements over the state-of-the-art baseline models on rumor detection.

Authors 4

1. Xueqin Chen Aachen Leiden Institute of Advanced Computer Science

   Leiden University · University of Electronic Science and Technology of China

   Affiliation as printed

   Leiden Institute of Advanced Computer Science Leiden University Leiden The Netherlands

   School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

   Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands

   School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Fan Zhou corresponding

   University of Electronic Science and Technology of China

   Affiliation as printed

   School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

   School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Fengli Zhang

   University of Electronic Science and Technology of China

   Affiliation as printed

   School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

   School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. Marcello Bonsangue Aachen Leiden Institute of Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute of Advanced Computer Science Leiden University Leiden The Netherlands

   Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands