SOTAVerified

Misinformation

Papers

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Showing 751–800 of 1282 papers

TitleStatusHype
Interpretable Multimodal Misinformation Detection with Logic ReasoningCode1
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models—0
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
Adversary Aware Continual Learning—0
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and WhoCode0
VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal BiasCode1
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models—0
A Semi-Supervised Framework for Misinformation Detection—0
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent—0
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation—0
Towards Designing a ChatGPT Conversational Companion for Elderly People—0
Exoskeleton for the Mind: Exploring Strategies Against Misinformation with a Metacognitive Agent—0
MisRoBÆRTa: Transformers versus MisinformationCode0
It's All in the Embedding! Fake News Detection Using Document EmbeddingsCode0
Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model—0
Vax-Culture: A Dataset for Studying Vaccine Discourse on TwitterCode0
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation—0
Interpretable Unified Language CheckingCode1
Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot MemoriesCode0
Leveraging Social Interactions to Detect Misinformation on Social Media—0
Detecting and Grounding Multi-Modal Media ManipulationCode2
Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourseCode0
Demystifying Misconceptions in Social Bots Research—0
Not cool, calm or collected: Using emotional language to detect COVID-19 misinformation—0
The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events—0
VADER: Video Alignment Differencing and Retrieval—0
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns—0
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential—0
Artificial Influence: An Analysis Of AI-Driven Persuasion—0
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion—0
Verifying the Robustness of Automatic Credibility AssessmentCode0
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer AdaptersCode0
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine MisinformationCode1
Stylometric Detection of AI-Generated Text in Twitter TimelinesCode1
Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback—0
A Pathway Towards Responsible AI Generated Content—0
Synthetic Misinformers: Generating and Combating Multimodal MisinformationCode1
PANACEA: An Automated Misinformation Detection System on COVID-19—0
On pitfalls (and advantages) of sophisticated large language models—0
Why Do Facial Deepfake Detectors Fail?—0
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques—0
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact VerificationCode1
Entity-Aware Dual Co-Attention Network for Fake News DetectionCode1
Combating Online Misinformation Videos: Characterization, Detection, and Future DirectionsCode1
The Science of Detecting LLM-Generated Texts—0
Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks—0
Towards Detecting Harmful Agendas in News ArticlesCode0
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified