SOTAVerified

Misinformation

Papers

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Showing 801–825 of 1282 papers

TitleStatusHype
Case-Based Reasoning with Language Models for Classification of Logical FallaciesCode0
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram postsCode0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions—0
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot DetectionCode0
The State of Human-centered NLP Technology for Fact-checking—0
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
Defending Against Disinformation Attacks in Open-Domain Question AnsweringCode0
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset—0
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 TreatmentsCode0
FNDaaS: Content-agnostic Detection of Fake News sites—0
Robust and Explainable Identification of Logical Fallacies in Natural Language ArgumentsCode1
A Modality-level Explainable Framework for Misinformation Checking in Social Networks—0
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces—0
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal—0
A Graph-Based Context-Aware Model to Understand Online Conversations—0
Using Persuasive Writing Strategies to Explain and Detect Health MisinformationCode0
Towards Human-Centred Explainability Benchmarks For Text Classification—0
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-trainingCode1
Listen to what they say: Better understand and detect online misinformation with user feedback—0
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified