A curated list of resources, tools, datasets, and research papers for detecting fake news and misinformation using Large Language Models (LLMs).
- Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection (ACL 2025 Main) | Paper | Code
- Real-time Fake News from Adversarial Feedback (ACL 2025 Main) | Paper | Code
- Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling (ACL 2025 Main) | Paper | Code
- PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation (ACL 2025 Main) | Paper | Code
- Detection of Human and Machine-Authored Fake News in Urdu (ACL 2025 Main) | Paper | Code
- IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection (ACL 2025 Main) | Paper | Code
- TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection (ACL 2025 Main) | Paper | Code
- MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection (ACL 2025 Main) | Paper | Code
- MemeQA: Holistic Evaluation of Meme Understanding (ACL 2025 Main) | Paper | Code
- Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts (ACL 2025 Findings) | Paper | Code
- Structured Discourse Representation for Factual Consistency Verification (ACL 2025 Findings) | Paper | Code
- EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation (ACL 2025 Findings) | Paper | Code
- When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits (ACL 2025 Findings) | Paper | Code
- Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion (ACL 2025 Findings) | Paper | Code
- 'No' Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue (ACL 2025 Findings) | Paper | Code
- Just KIDDIN' : Knowledge Infusion and Distillation for Detection of INdecent Memes (ACL 2025 Findings) | Paper | Code
- EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models (ACL 2025 Findings) | Paper | Code
- CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings (ACL 2025 Findings) | Paper | Code
- Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors (ACL 2025 Findings) | Paper | Code
- When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text (ACL 2025 Findings) | Paper | Code
- C2MR: Continual Cross-Modal Retrieval for Streaming Multi-modal Data (ACM MM 2023) | Paper | Code
- FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models (ACL 2025 Main) | Paper | Code
- Can Community Notes Replace Professional Fact-Checkers? (ACL 2025 Main) | Paper | Code
- GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking (ACL 2025 Main) | Paper | Code
- SYNTHVERIFY: Unleashing the Power of LLMs for Zero-Shot Claim Verification via Step-by-Step Synthetic Data Generation (ACL 2025 Findings) | Paper | Code
- Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics (ACL 2025 Findings) | Paper | Code
- FactLens: Benchmarking Fine-Grained Fact Verification (ACL 2025 Findings) | Paper | Code
- A MISMATCHED Benchmark for Scientific Natural Language Inference (ACL 2025 Findings) | Paper | Code
- Core: Robust Factual Precision with Informative Sub-Claim Identification (ACL 2025 Findings) | Paper | Code
- How Does Generation Length Affect Long-Form Factuality (ACL 2025 Findings) | Paper | Code
- Long-form Hallucination Detection with Self-elicitation (ACL 2025 Findings) | Paper | Code
- ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty (ACL 2025 Findings) | Paper | Code
- How does Misinformation Affect Large Language Model Behaviors and Preferences? (ACL 2025 Main) | Paper | Code
- Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation (ACL 2025 Main) | Paper | Code
- RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information (ACL 2025 Main) | Paper | Code
- Text is All You Need: LLM-enhanced Incremental Social Event Detection (ACL 2025 Main) | Paper | Code
- Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media (ACL 2025 Main) | Paper | Code
- Conspiracy Theories and Where to Find Them on TikTok (ACL 2025 Main) | Paper | Code
- FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media (ACL 2025 Findings) | Paper | Code
- MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection (ACL 2025 Findings) | Paper | Code
- MultiHoax: A Dataset of Multi-hop False-premise questions (ACL 2025 Findings) | Paper | Code
- T3RD: Test-Time Training for Rumor Detection on Social Media (WWW 2024) | Paper | Code
- Learning Temporal Event Knowledge for Continual Social Event Classification (IEEE TKDE 2025) | Paper | Code
- Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection (IEEE TMM 2022) | Paper | Code
- Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection (IEEE TMM 2021) | Paper | Code
- Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection (ACM MM 2019) | Paper | Code
- Hatevolution: What Static Benchmarks Don't Tell Us (ACL 2025 Findings) | Paper | Code
- Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes (ACL 2025 Findings) | Paper | Code
- Measuring Bias and Agreement in Large Language Model Presupposition Judgments (ACL 2025 Findings) | Paper | Code