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Misinformation

Papers

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Showing 651–675 of 1282 papers

TitleStatusHype
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
Leveraging Structural Knowledge in Diffusion Models for Source Localization in Data-Limited Graph Scenarios—0
Structurizing Misinformation Stories via Rationalizing Fact-Checks—0
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection—0
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms—0
Supporting verification of news articles with automated search for semantically similar articles—0
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language—0
Susceptibility of Large Language Models to User-Driven Factors in Medical Queries—0
SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks—0
Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures—0
T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search—0
Tackling COVID-19 Infodemic using Deep Learning—0
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks—0
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection—0
Target-driven Attack for Large Language Models—0
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks—0
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified