Misinformation
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Benchmarks
Most implemented
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trolls
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
Papers
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks
Audio plays a crucial role in applications like speaker verification, voice-enabled smart devices, and audio conferencing. However, audio manipulations, such as deepfakes, pose significant risks by enabling the spread of…
DeepFake DetectionFace SwappingMisinformationSpeaker Verification+1Leveraging Pre-Trained Visual Models for AI-Generated Video Detection
Recent advances in Generative AI (GenAI) have led to significant improvements in the quality of generated visual content. As AI-generated visual content becomes increasingly indistinguishable from real content, the chall…
MisinformationVideo GenerationKEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection
In recent years, the rampant spread of misinformation on social media has made accurate detection of multimodal fake news a critical research focus. However, previous research has not adequately understood the semantics …
Fake News DetectionMisinformationWorld KnowledgeLLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
We introduce the framework of LLM-Stackelberg games, a class of sequential decision-making models that integrate large language models (LLMs) into strategic interactions between a leader and a follower. Departing from cl…
Decision MakingMisinformationRecommendation SystemsSequential Decision MakingMulti-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation
Large language models (LLMs) incorporated with Retrieval-Augmented Generation (RAG) have demonstrated powerful capabilities in generating counterspeech against misinformation. However, current studies rely on limited evi…
InformativenessMisinformationRAGRetrieval+1LLMs are Introvert
The exponential growth of social media and generative AI has transformed information dissemination, fostering connectivity but also accelerating the spread of misinformation. Understanding information propagation dynamic…
Human DynamicsMisinformationStance Detection