Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

This repository contains code for the paper "RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media" By J. Gao, S. Han, X. Song, et al. - LREC 2020

PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection

The public code for paper A Graph Convolutional Encoder and Decoder Model for Rumor Detection which is accepted by DSAA 2020

Detect rumors on Weibo by PyTorch.

Multiview Spatio-Temporal Learning with Dual Dynamic Graph Convolutional Networks for Rumor Detection

Original PyTorch Implementation for the EMNLP 2023 Paper "Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media"

This is REPORT model for rumor detection

Deep Structure Learning for Rumor Detection on Twitter (IJCNN 2019)

Building model in order to identify whether a tweet is rumor

Codes and Datasets for our WSDM 2022 Paper: "MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs"

This repository stores the implementation of trigger identification task on Shanghai-HK Interdisciplinary Shared Tasks (2022).

Deep Spatial-Temporal Structure Learning for Rumor Detection on Twitter, Neural Computing and Applications, 2020

Source code for the publication "Deep Feature Fusion for Rumor Detection on Twitter"

This is the code for our paper **RumorNAS: Bi-directional Search to Stack Dynamic GNN for Rumor Detection**

English and Turkish Misinformation Detection Dataset from "MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection"