SOTAVerified

Misinformation

Papers

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Showing 551–575 of 1282 papers

TitleStatusHype
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
Exploring the Capability of ChatGPT to Reproduce Human Labels for Social Computing Tasks (Extended Version)—0
Generative Debunking of Climate Misinformation—0
The Tug-of-War Between Deepfake Generation and Detection—0
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information—0
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec—0
OSPC: Artificial VLM Features for Hateful Meme Detection—0
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms—0
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent SignaturesCode0
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models—0
Inception: Efficiently Computable Misinformation Attacks on Markov Games—0
Deepfake tweets automatic detection—0
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods—0
A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative GenerationCode0
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated TasksCode0
Finding Safety Neurons in Large Language Models—0
Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery—0
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions—0
Generating Educational Materials with Different Levels of Readability using LLMs—0
Mitigating Large Language Model Hallucination with Faithful Finetuning—0
SilverSpeak: Evading AI-Generated Text Detectors using HomoglyphsCode0
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded ConversationsCode0
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional InformationCode0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified