Veracity Classification
8 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Veracity Classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Twitter Death Hoaxes
Most implemented papers
Simple Open Stance Classification for Rumour Analysis
radpet/fake-news-detector
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RANLP 2017
Stance classification determines the attitude, or stance, in a (typically short) text.
Less is More: Facial Landmarks can Recognize a Spontaneous Smile
tushar-faroque/meshsmilenet
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Smile veracity classification is a task of interpreting social interactions.
Benchmarking the Generation of Fact Checking Explanations
Results show that in justification production summarization benefits from the claim information, and, in particular, that a claim-driven extractive step improves abstractive summarization performances.
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
Each instance is accompanied by a veracity label and an explanation that outlines the reasoning path supporting the veracity classification.
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
znhy1024/justilm
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Justification is an explanation that supports the veracity assigned to a claim in fact-checking.
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Large vision-language models (LVLMs) have significantly improved multimodal reasoning tasks, such as visual question answering and image captioning.
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies
firatcekinel/Multimodal-Fact-Checking-with-Vision-Language-Models
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This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking.
