Cover Image

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Tianyi, Xu, Zeqiu, Yu, Peiyang, Yi, Jingyuan, Xu, Xiaochuan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions
by: Yi, Jingyuan, et al.
Published: (2025)

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

Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies
by: Huang, Tianyi, et al.
Published: (2025)

Hierarchical Multi-Stage BERT Fusion Framework with Dual Attention for Enhanced Cyberbullying Detection in Social Media
by: Wang, Jiani, et al.
Published: (2025)

Advancing Sentiment Analysis: A Novel LSTM Framework with Multi-head Attention
by: Yi, Jingyuan, et al.
Published: (2025)

Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm
by: Yi, Jingyuan, et al.
Published: (2024)

Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
by: Roy, Utsha, et al.
Published: (2024)

The Application of Large Language Models in Recommendation Systems
by: Yu, Peiyang, et al.
Published: (2025)

Enhancing User Intent for Recommendation Systems via Large Language Models
by: Xu, Xiaochuan, et al.
Published: (2025)

Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Model
by: Xu, Wei, et al.
Published: (2024)

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

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

SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
by: Wang, Jingqing, et al.
Published: (2025)

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

Training Language Models to Generate Text with Citations via Fine-grained Rewards
by: Huang, Chengyu, et al.
Published: (2024)

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

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection
by: Yin, Junwei, et al.
Published: (2024)

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

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

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

TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
by: Liu, Kay, et al.
Published: (2025)

Detection of Somali-written Fake News and Toxic Messages on the Social Media Using Transformer-based Language Models
by: Mohamed, Muhidin A., et al.
Published: (2025)

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
by: Xu, Xiaoman, et al.
Published: (2024)

Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
by: Wang, Yuchen, et al.
Published: (2024)

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

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

Hybrid Feature Combinations with CNN for Bangla Fake News Classification
by: Hussain, Md Gulzar, et al.
Published: (2026)

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)

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
by: Ni, Shiwen, et al.
Published: (2025)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
by: Jin, Di, et al.
Published: (2025)

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

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
by: Kim, Junghoon, et al.
Published: (2024)

Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
by: Zhou, Ziyi, et al.
Published: (2024)

COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
by: Ouyang, Yi, et al.
Published: (2024)

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

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
by: Jiang, Ye, et al.
Published: (2024)

Large Language Model Agent for Fake News Detection
by: Li, Xinyi, 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)