Imagen de Portada

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tian, Chong, Ho, Qirong, Chen, Xiuying
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos
por: Tian, Chong, et al.
Publicado: (2026)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
por: Raza, Shaina, et al.
Publicado: (2024)

RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Robust Fake News Detection
por: Ma, Song-Duo, et al.
Publicado: (2026)

FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
por: Huang, Yue, et al.
Publicado: (2023)

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

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
por: Wang, Bo, et al.
Publicado: (2026)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
por: Wang, Wei-Yao, et al.
Publicado: (2024)

LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
por: Wang, Yifeng, et al.
Publicado: (2024)

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation
por: Yang, Chenxu, et al.
Publicado: (2024)

Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
por: Tong, Zhao, et al.
Publicado: (2025)

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
por: Liu, Yuhan, et al.
Publicado: (2024)

A Self-Learning Multimodal Approach for Fake News Detection
por: Chen, Hao, et al.
Publicado: (2024)

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

Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks
por: Tahmasebi, Sahar, et al.
Publicado: (2026)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
por: Zhang, Jiajun, et al.
Publicado: (2024)

A Hybrid Attention Framework for Fake News Detection with Large Language Models
por: Xu, Xiaochuan, et al.
Publicado: (2025)

TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
por: Liu, Hui, et al.
Publicado: (2024)

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
por: Wang, Xinyu, et al.
Publicado: (2026)

Fake News Detection: It's All in the Data!
por: Kuntur, Soveatin, et al.
Publicado: (2024)

Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
por: Liu, Qiang, et al.
Publicado: (2023)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
por: Park, Sungwon, et al.
Publicado: (2024)

Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
por: Wang, Chi, et al.
Publicado: (2025)

EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
por: Ruan, Chi, et al.
Publicado: (2026)

Synthetic News Generation for Fake News Classification
por: Sittar, Abdul, et al.
Publicado: (2025)

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
por: Liu, Ye, et al.
Publicado: (2024)

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
por: Wu, Jiaying, et al.
Publicado: (2023)

Symbolic Learning Enables Self-Evolving Agents
por: Zhou, Wangchunshu, et al.
Publicado: (2024)

Detection of Fake Generated Scientific Abstracts
por: Theocharopoulos, Panagiotis C., et al.
Publicado: (2023)

Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
por: Guo, Hao, et al.
Publicado: (2024)

LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection
por: Singh, Jasraj, et al.
Publicado: (2024)

Trust Oriented Explainable AI for Fake News Detection
por: Siwek, Krzysztof, et al.
Publicado: (2026)

A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
por: Yang, Xuankai, et al.
Publicado: (2025)

Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
por: Wang, Bo, et al.
Publicado: (2024)

Heterogeneous Subgraph Transformer for Fake News Detection
por: Zhang, Yuchen, et al.
Publicado: (2024)

An Experimental Comparison of the Most Popular Approaches to Fake News Detection
por: Dell'Oglio, Pietro, et al.
Publicado: (2026)

Retrieval-Augmented Multimodal Model for Fake News Detection
por: Li, Yiheng, et al.
Publicado: (2026)

Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
por: Yan, Kaiying, et al.
Publicado: (2025)

Generalization Gaps in Political Fake News Detection: An Empirical Study on the LIAR Dataset
por: Hasan, S Mahmudul, et al.
Publicado: (2025)

A Regularized LSTM Method for Detecting Fake News Articles
por: Camelia, Tanjina Sultana, et al.
Publicado: (2024)

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
por: Wang, Zhengjia, et al.
Publicado: (2025)