SOTAVerified

Misinformation

Papers

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Showing 651–675 of 1282 papers

TitleStatusHype
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics—0
Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets—0
SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse—0
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection—0
Social hierarchy shapes foraging decisions—0
Social Media Can Reduce Misinformation When Public Scrutiny is High—0
Social media use among American Indians in South Dakota: Preferences and perceptions—0
SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?—0
SoK: Watermarking for AI-Generated Content—0
SOMPS-Net : Attention based social graph framework for early detection of fake health news—0
Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks—0
Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis—0
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness—0
SpMis: An Investigation of Synthetic Spoken Misinformation Detection—0
SpoC: Spoofing Camera Fingerprints—0
SPOT: Text Source Prediction from Originality Score Thresholding—0
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media—0
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation—0
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation—0
Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks—0
Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models—0
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks—0
Strengthening Fake News Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques. Defying BERT?—0
Stronger Together: Unleashing the Social Impact of Hate Speech Research—0
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified