Trust Oriented Explainable AI for Fake News Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Siwek, Krzysztof, Stankowski, Daniel, Stodolski, Maciej |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Natural Language Processing Models for Robust Document Categorization
by: Roszczyk, Radoslaw, et al.
Published: (2026)
by: Roszczyk, Radoslaw, et al.
Published: (2026)
Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis
by: Siwek, Krzysztof, et al.
Published: (2026)
by: Siwek, Krzysztof, et al.
Published: (2026)
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
by: Yigezu, Mesay Gemeda, et al.
Published: (2024)
by: Yigezu, Mesay Gemeda, et al.
Published: (2024)
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
by: Liu, Hui, et al.
Published: (2024)
by: Liu, Hui, et al.
Published: (2024)
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
Fake News Detection: It's All in the Data!
by: Kuntur, Soveatin, et al.
Published: (2024)
by: Kuntur, Soveatin, et al.
Published: (2024)
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
by: Wang, Yifeng, et al.
Published: (2024)
by: Wang, Yifeng, et al.
Published: (2024)
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
by: Wu, Jiaying, et al.
Published: (2023)
by: Wu, Jiaying, et al.
Published: (2023)
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
by: Guo, Hao, et al.
Published: (2024)
by: Guo, Hao, et al.
Published: (2024)
POLygraph: Polish Fake News Dataset
by: Dzienisiewicz, Daniel, et al.
Published: (2024)
by: Dzienisiewicz, Daniel, et al.
Published: (2024)
Heterogeneous Subgraph Transformer for Fake News Detection
by: Zhang, Yuchen, et al.
Published: (2024)
by: Zhang, Yuchen, et al.
Published: (2024)
An Experimental Comparison of the Most Popular Approaches to Fake News Detection
by: Dell'Oglio, Pietro, et al.
Published: (2026)
by: Dell'Oglio, Pietro, et al.
Published: (2026)
Retrieval-Augmented Multimodal Model for Fake News Detection
by: Li, Yiheng, et al.
Published: (2026)
by: Li, Yiheng, et al.
Published: (2026)
Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
by: Alamoudi, Eman, et al.
Published: (2026)
by: Alamoudi, Eman, et al.
Published: (2026)
An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
by: Chen, Mengyang, et al.
Published: (2026)
by: Chen, Mengyang, et al.
Published: (2026)
Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
by: Chen, Mengyang, et al.
Published: (2026)
by: Chen, Mengyang, et al.
Published: (2026)
Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
by: Hu, Shuguo, et al.
Published: (2025)
by: Hu, Shuguo, et al.
Published: (2025)
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection
by: Yin, Junwei, et al.
Published: (2024)
by: Yin, Junwei, et al.
Published: (2024)
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
by: Wang, Chi, et al.
Published: (2025)
by: Wang, Chi, et al.
Published: (2025)
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
by: Wang, Jingqing, et al.
Published: (2025)
by: Wang, Jingqing, et al.
Published: (2025)
Detection of Human and Machine-Authored Fake News in Urdu
by: Ali, Muhammad Zain, et al.
Published: (2024)
by: Ali, Muhammad Zain, et al.
Published: (2024)
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach
by: Hasan, Mohammad Mehadi, et al.
Published: (2025)
by: Hasan, Mohammad Mehadi, et al.
Published: (2025)
Multi-view autoencoders for Fake News Detection
by: Pereira, Ingryd V. S. T., et al.
Published: (2025)
by: Pereira, Ingryd V. S. T., et al.
Published: (2025)
Synthetic News Generation for Fake News Classification
by: Sittar, Abdul, et al.
Published: (2025)
by: Sittar, Abdul, et al.
Published: (2025)
A Regularized LSTM Method for Detecting Fake News Articles
by: Camelia, Tanjina Sultana, et al.
Published: (2024)
by: Camelia, Tanjina Sultana, et al.
Published: (2024)
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Robust Fake News Detection
by: Ma, Song-Duo, et al.
Published: (2026)
by: Ma, Song-Duo, et al.
Published: (2026)
FNDEX: Fake News and Doxxing Detection with Explainable AI
by: Sallami, Dorsaf, et al.
Published: (2024)
by: Sallami, Dorsaf, et al.
Published: (2024)
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection
by: Singh, Jasraj, et al.
Published: (2024)
by: Singh, Jasraj, et al.
Published: (2024)
A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
by: Tian, Chong, et al.
Published: (2025)
by: Tian, Chong, et al.
Published: (2025)
FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis
by: Abdedaiem, Amin, et al.
Published: (2024)
by: Abdedaiem, Amin, et al.
Published: (2024)
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
by: Ni, Shiwen, et al.
Published: (2025)
by: Ni, Shiwen, et al.
Published: (2025)
A Hybrid Attention Framework for Fake News Detection with Large Language Models
by: Xu, Xiaochuan, et al.
Published: (2025)
by: Xu, Xiaochuan, et al.
Published: (2025)
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
by: Shajalal, Md, et al.
Published: (2024)
by: Shajalal, Md, et al.
Published: (2024)
A Self-Learning Multimodal Approach for Fake News Detection
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)
by: Su, Jinyan, et al.
Published: (2023)
Similar Items
-
Natural Language Processing Models for Robust Document Categorization
by: Roszczyk, Radoslaw, et al.
Published: (2026) -
Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis
by: Siwek, Krzysztof, et al.
Published: (2026) -
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
by: Yigezu, Mesay Gemeda, et al.
Published: (2024) -
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
by: Liu, Hui, et al.
Published: (2024) -
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
by: Wang, Bo, et al.
Published: (2026)