Misinformation Detection and Countermeasures
Research on using LLMs to detect, evaluate, and counter misinformation, including demographic factors in misinformation susceptibility

Misinformation Detection and Countermeasures
Research on Large Language Models in Misinformation Detection and Countermeasures

Fighting Misinformation with AI
Evaluating How LLMs Can Counter Political Falsehoods

Group Psychology in LLMs
How belief congruence shapes AI decision-making and security risks

The Demographic Dimension of AI Misinformation
Understanding persuasion dynamics between humans and LLMs across demographic groups

LLMs as Fact-Checking Allies
Evaluating open-source models for automated misinformation detection

Graph-Based Fact-Checking Framework
Enhancing LLM Accuracy in Misinformation Detection

Benchmarking LLMs for Fact-Checking
A systematic evaluation of how AI models detect false political information

Combating Misinformation with Structured Knowledge
Enhancing fact verification through knowledge-augmented LLMs

The Hidden Threat in AI Conversations
How LLMs Amplify Implicit Misinformation

LLMs vs. Misinformation: The Adversarial Factuality Challenge
How open-source LLMs respond to deliberately deceptive prompts

Combating Visual Deception in Data
How AI Models Perform Against Misleading Charts

Can AI Fact-Check Its Own News?
Evaluating LLMs' ability to detect their own misinformation

Evolving Fake News Defense
How LLMs and SLMs Learn from Each Other to Combat Misinformation

Geographic Bias in LLM Fact-Checking
Uncovering performance disparities across global regions

Tracking LLM-Generated Disinformation
New evidence of AI-generated content in multilingual disinformation campaigns

Cross-Domain Misinformation Detection
A Multi-Agent LLM Framework with Automated Decision Rules

Fighting Telecom Fraud with AI
First multimodal dataset combining audio signals with reasoning-based text analysis

Early-Stage Fake News Detection
Achieving effective detection with limited textual information

AI-Powered News De-biasing
Using LLMs to detect and neutralize bias in media coverage

Smart Searching for Truth in News
How query strategies impact misinformation detection

Fighting Fake News with AI Detection
A novel approach to identifying miscaptioned images using latent multimodal reconstruction

Fighting Fake News with EXCLAIM
An AI-Powered System for Cross-Modal Misinformation Detection

Combating Fake Reviews Across Languages
Leveraging LLMs for Multi-Domain Deception Detection

Combating Fake News in Media Videos
The first dataset of professionally-produced deceptive news videos

AI-Powered Credibility Detection
Using LLMs to Improve Visual Content Trust Assessment
