Cover Image

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Mengyang, Wei, Lingwei, Cao, Han, Zhou, Wei, Hu, Songlin
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)

Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation
by: Wei, Lingwei, et al.
Published: (2024)

An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
by: Chen, Mengyang, et al.
Published: (2026)

Structure-aware Propagation Generation with Large Language Models for Fake News Detection
by: Chen, Mengyang, et al.
Published: (2025)

Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
by: Chen, Mengyang, et al.
Published: (2026)

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
by: Xu, Rongwu, et al.
Published: (2023)

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
by: Guo, Ruohao, et al.
Published: (2025)

Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings
by: Yang, Shujian, et al.
Published: (2025)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)

Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
by: Zhou, Ke, et al.
Published: (2025)

PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization
by: Jiang, Han, et al.
Published: (2025)

Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
by: Li, Ming, et al.
Published: (2025)

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
by: Guo, Ruiling, et al.
Published: (2025)

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
by: Li, Jiatong, et al.
Published: (2024)

White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
by: Wan, Yixin, et al.
Published: (2024)

SteLLA: A Structured Grading System Using LLMs with RAG
by: Qiu, Hefei, et al.
Published: (2025)

Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game
by: Dong, Ruiqi, et al.
Published: (2024)

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
by: Cao, Han, et al.
Published: (2025)

Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
by: Chen, Wei-Yu
Published: (2024)

PLawBench: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
by: Shi, Yuzhen, et al.
Published: (2026)

Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
by: Choi, Sooyung, et al.
Published: (2025)

Does GenAI Rewrite How We Write? An Empirical Study on Two-Million Preprints
by: Qi, Minfeng, et al.
Published: (2025)

On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)

Misinforming LLMs: vulnerabilities, challenges and opportunities
by: Zhou, Bo, et al.
Published: (2024)

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
by: Qi, Peng, et al.
Published: (2024)

Exploring news intent and its application: A theory-driven approach
by: Wang, Zhengjia, et al.
Published: (2023)

SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
by: Shliselberg, Michael, et al.
Published: (2024)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
by: Haider, Batool, et al.
Published: (2025)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
by: Xu, Rongwu, et al.
Published: (2024)

H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
by: Gao, Cheng, et al.
Published: (2025)

InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation
by: Wan, Yixin, et al.
Published: (2025)

An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
by: Chandra, Rohitash, et al.
Published: (2026)

Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
by: Mavi, John, et al.
Published: (2024)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)

The simulation of judgment in LLMs
by: Loru, Edoardo, et al.
Published: (2025)

Measuring Teaching with LLMs
by: Hardy, Michael
Published: (2025)

The Political Preferences of LLMs
by: Rozado, David
Published: (2024)

Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)