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Papers

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Showing 351–400 of 1282 papers

TitleStatusHype
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content—0
Analysis of child development facts and myths using text mining techniques and classification models—0
"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time—0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection—0
Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust—0
Deepfake tweets automatic detection—0
Deep Insights of Deepfake Technology : A Review—0
Deep Learning applications for COVID-19—0
Deep Learning Technology for Face Forgery Detection: A Survey—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation—0
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?—0
COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives—0
Delphic Costs and Benefits in Web Search: A utilitarian and historical analysis—0
Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries—0
Demystifying Misconceptions in Social Bots Research—0
Demystifying Neural Fake News via Linguistic Feature-Based Interpretation—0
BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models—0
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task—0
Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go—0
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods—0
AMREx: AMR for Explainable Fact Verification—0
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions—0
COVID-19 Remote Patient Monitoring: Social Impact of AI—0
Detecting Causal Language Use in Science Findings—0
BERT based classification system for detecting rumours on Twitter—0
Detecting Document-level Paraphrased Machine Generated Content: Mimicking Human Writing Style and Involving Discourse Features—0
Detecting Edited Knowledge in Language Models—0
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation—0
COVID-19 Modeling: A Review—0
Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands—0
Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement—0
Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach—0
Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter—0
Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signals—0
Do Large Language Models Show Biases in Causal Learning?—0
An Information Diffusion Approach to Rumor Propagation and Identification on Twitter—0
Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model—0
Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic—0
Detecting Troll Tweets in a Bilingual Corpus—0
Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?—0
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration—0
Detection and Resolution of Rumors and Misinformation with NLP—0
A Novel Approach in Strategic Planning of Power Networks Against Physical Attacks—0
Detection of Novel Social Bots by Ensembles of Specialized Classifiers—0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks—0
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified