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Misinformation

Papers

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Showing 301–350 of 1282 papers

TitleStatusHype
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI—0
Detection of Human and Machine-Authored Fake News in UrduCode0
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
Watermarking Large Language Models and the Generated Content: Opportunities and Challenges—0
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents—0
Towards Generalizable AI-Assisted Misinformation Inoculation: Protecting Confidence Against False Election Narratives—0
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness—0
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods—0
ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding—0
Learning to Generate and Evaluate Fact-checking Explanations with Transformers—0
NetSafe: Exploring the Topological Safety of Multi-agent Networks—0
SceneGraMMi: Scene Graph-boosted Hybrid-fusion for Multi-Modal Misinformation Veracity Prediction—0
Are LLMs Good Zero-Shot Fallacy Classifiers?Code0
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public DiscourseCode0
ChronoFact: Timeline-based Temporal Fact Verification—0
Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
Critical Questions Generation: Motivation and ChallengesCode0
Teaching Models to Balance Resisting and Accepting PersuasionCode0
Towards Effective Planning Strategies for Dynamic Opinion NetworksCode0
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social MediaCode0
Lecture II: Communicative Justice and the Distribution of Attention—0
Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?—0
Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures—0
Can We Reverse In-Context Knowledge Edits?—0
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit—0
Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models—0
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim VerificationCode0
MisinfoEval: Generative AI in the Era of "Alternative Facts"—0
Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection ModelsCode0
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation—0
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems—0
Categorizing Social Media Screenshots for Identifying Author Misattribution—0
Can DeepFake Speech be Reliably Detected?—0
A Comparative Study of Hybrid Models in Health Misinformation Text Classification—0
On the Reliability of Large Language Models to Misinformed and Demographically-Informed PromptsCode0
LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking—0
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News DetectionCode0
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation GenerationCode0
ECon: On the Detection and Resolution of Evidence ConflictsCode0
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation—0
A Multimodal Framework for Deepfake Detection—0
Measuring and Improving Persuasiveness of Large Language Models—0
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI—0
Cognitive Biases in Large Language Models for News Recommendation—0
Optimizing Adaptive Attacks against Watermarks for Language ModelsCode0
Auction-Based Regulation for Artificial IntelligenceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified