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Papers

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Showing 51–100 of 1282 papers

TitleStatusHype
Detecting Anti-Vaccine Users on TwitterCode1
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level TransferCode1
Interpretable Unified Language CheckingCode1
Is Artificial Intelligence Generated Image Detection a Solved Problem?Code1
Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning ApproachCode1
Language Models as Causal Effect GeneratorsCode1
Learning Ideological Embeddings from Information CascadesCode1
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge AugmentationCode1
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation GenerationCode1
Logical Fallacy DetectionCode1
LTCR: Long-Text Chinese Rumor Detection DatasetCode1
Machine-Generated Text LocalizationCode1
Comprint: Image Forgery Detection and Localization using Compression FingerprintsCode1
CoAID: COVID-19 Healthcare Misinformation DatasetCode1
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language ModelCode1
CHECKED: Chinese COVID-19 Fake News DatasetCode1
AnthroScore: A Computational Linguistic Measure of AnthropomorphismCode1
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant CareCode1
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-CheckingCode1
ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theoriesCode1
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic ConsistencyCode1
Can LLM-Generated Misinformation Be Detected?Code1
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised LearningCode1
ChartCheck: Explainable Fact-Checking over Real-World Chart ImagesCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
CNN Based Autoencoder Application in Breast Cancer Image RetrievalCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
COVE: COntext and VEracity prediction for out-of-context imagesCode1
Cross-document Misinformation Detection based on Event Graph ReasoningCode1
Cross-lingual COVID-19 Fake News DetectionCode1
Benchmarking the Generation of Fact Checking ExplanationsCode1
BeHonest: Benchmarking Honesty in Large Language ModelsCode1
DialFact: A Benchmark for Fact-Checking in DialogueCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph TransformersCode1
Empowering the Fact-checkers! Automatic Identification of Claim Spans on TwitterCode1
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and ExplanationCode1
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior ChangesCode1
Exploring Summarization to Enhance Headline Stance DetectionCode1
Exposing Text-Image Inconsistency Using Diffusion ModelsCode1
Evidence-based Factual Error CorrectionCode1
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
A Survey on Automated Fact-CheckingCode1
A Survey of Datasets for Information Diffusion TasksCode1
Auditing YouTube's Recommendation Algorithm for Misinformation Filter BubblesCode1
Harmfully Manipulated Images Matter in Multimodal Misinformation DetectionCode1
HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic ClaimsCode1
A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaborationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified