Co-occurring keywords · papers mentioning both
Papers
Backdoor Attack on Propagation-based Rumor Detectors
AAAI 2025
Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models
EMNLP 2025
Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
COLING 2025
Equal Truth: Rumor Detection with Invariant Group Fairness
EMNLP 2025
Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection
EMNLP 2025
Exploring Large Language Models for Effective Rumor Detection on Social Media
NAACL 2025
FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media
ACL 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection
EMNLP 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection
ACL 2025
Rethink Rumor Detection in the Era of LLMs: A Review
EMNLP 2025
Rumor Detection on Social Media with Temporal Propagation Structure Optimization
COLING 2025
Semantic Reshuffling with LLM and Heterogeneous Graph Auto-Encoder for Enhanced Rumor Detection
COLING 2025
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
ACL 2025
SWAM: Adaptive Sliding Window and Memory-Augmented Attention Model for Rumor Detection
EMNLP 2025
Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
COLING 2025
You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives
COLING 2025
CLFFRD: Curriculum Learning and Fine-grained Fusion for Multimodal Rumor Detection
COLING 2024
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning
EMNLP 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NeurIPS 2024
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
COLING 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
AAAI 2024
Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media
EMNLP 2023
It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits
EACL 2023