VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

LIIRM: Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection

MCAN: Multimodal Fusion with Co-Attention Networks for Fake News Detection

HMCAN: Hierarchical Multi-modal Contextual Attention Network for Fake News Detection

M3FEND: Memory-Guided Multi-View Multi-Domain Fake News Detection

FND-CLIP: Multimodal Fake News Detection via CLIP-Guided Learning

A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network

CMC: Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection

CAFE: Cross-modal Ambiguity Learning for Multimodal Fake News Detection

GET: Evidence-aware Fake News Detection with Graph Neural Networks

KMGCN: Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

EDDFN: Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

EM-FEND: Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues

Pref-FEND: Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

Hetero-SCAN: Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information

MDFEND: Multi-domain Fake News Detection

SpotFake: A Multi-modal Framework for Fake News Detection (& SpotFake+)

MVAE: Multimodal Variational Autoencoder for Fake News Detection

Cross-lingual COVID-19 Fake News Detection

SAFE: Similarity-Aware Multi-Modal Fake News Detection

DIDAN: Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News

R-GNN: Recurrent Graph Neural Networks for Rumor Detection in Online Forums

Multimodal Detection of Information Disorder from Social Media

Causal Understanding of Fake News Dissemination on Social Media

AA-HGNN: Adversarial Active Learning Based Heterogeneous Graph Neural Network for Fake News Detection

Truth be Told: Fake News Detection Using User Reactions on Reddit

Mining Dual Emotion for Fake News Detection

MetaFEND: Multimodal Emergent Fake News Detection via Meta Neural Process Networks

Bi-GCN: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

WeFEND: Weak Supervision for Fake News Detection via Reinforcement Learning

SAFE: Similarity-Aware Multi-Modal Fake News Detection

UPFD: User Preference-aware Fake News Detection

Interest Sustainability-Aware Recommender System

CHAN: Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

MVNN: Exploiting Multi-domain Visual Information for Fake News Detection