Jul 5, 2020 � In this paper, we propose a fake news detection framework that makes full use of user characteristics.

Nov 29, 2023 � Methods used for disseminating online misinformation include graph-based conspiracy source detection utilizing graph neural network models�...

A fake news detection framework that makes full use of user characteristics is proposed that has achieved the state-of-the-art performance on two real datasets�...

TL;DR: A fake news detection framework that makes full use of user characteristics is proposed that has achieved the state-of-the-art performance on two�...

Our approach combines natural language processing (NLP) and tensor decomposition model to encode news content and embed Knowledge Graph (KG) entities,�...

Jul 4, 2021 � Our approach is a combination of the NLP -- where we encode the news content, and the GNN technique -- where we encode the Knowledge Graph (KG).

Jul 5, 2024 � This study introduces a framework based on Graph Neural Networks (GNNs) and natural language models to capture signals from both graph and content perspectives�...

Apr 17, 2024 � This paper proposes a fake news detection framework based on graph convolutional networks and attention mechanisms. By representing the news�...

Jul 7, 2024 � This study provides an overview A variety of false information and their characteristics and discusses various techniques and features used in fake news�...

This paper proposes a multi-modal fake news detection model based on dynamic propagation social graph (DPSG).