핵심 개념
Developing a novel rumor detection model using graph neural networks to improve accuracy and early detection.
초록
The content discusses the challenges of detecting rumors on social media and proposes a new detection model that combines user correlation and information propagation representations. The proposed model outperforms existing methods in detecting rumors, especially in early detection scenarios. The paper outlines the system design, including user feature encoding, text encoding, user correlation representation, information propagation representation, rumor classification with joint representations, and model training. Evaluation results on two public datasets demonstrate the effectiveness of the proposed model.
통계
Existing studies mainly leverage information propagation structure to detect rumors.
Evaluation results on two public datasets illustrate that the proposed MODEL outperforms state-of-the-art rumor detection models.
The proposed method performs well for early rumor detection.
인용구
"The wide spread of rumors on social media has caused a negative impact on people's daily life."
"Existing studies mainly leverage information propagation structure to detect rumors."
"Evaluations on two public datasets demonstrate the proposed model outperforms the baselines in terms of detection accuracy and F1 score."