BOOK-CHAPTER
Enhancing Fake News Detection: A Hybrid Approach with LSTM and Convolutional Neural Networks
P. SanghviShilpa SinghalKrupali GosaiDhara JoshiRavikumar RajarathinamSantushti Betgeri
Year: 2025 Lecture notes in networks and systems Pages: 25-38 Publisher: Springer International Publishing
Keywords:
Convolutional neural network Computer science Artificial intelligence
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
20
Refs
0.45
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Misinformation and Its Impacts
Social Sciences → Social Sciences → Sociology and Political Science
Spam and Phishing Detection
Physical Sciences → Computer Science → Information Systems
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
Enhancing Fake News Detection through Clustering with Convolutional Neural Networks
Year: 2023 Vol: 3 Pages: 1-5
BOOK-CHAPTER
Fake News Detection Using Convolutional Neural Networks and Random Forest—A Hybrid Approach
Hitesh Narayan SonejiSughosh Sudhanvan
Algorithms for intelligent systems Year: 2021 Pages: 349-359
JOURNAL ARTICLE
Fake News Detection Using Convolutional Neural Networks
Subash GiriShiva Ram DamRajesh KamarSuraj Basant Tulachan
Journal: Technical Journal Year: 2024 Vol: 4 (1)Pages: 64-68
BOOK-CHAPTER
Enhancing Fake News Detection with Temporal Convolutional Networks and BERT
Sunaan SultanTasniya AhmedSourav BarmanShaila SharminShudeb Babu Sen Omit
Lecture notes in networks and systems Year: 2025 Pages: 473-489
BOOK-CHAPTER
Enhancing Low-Resource Bangla Fake News Detection through Deep Convolutional Neural Networks
Sultana Umme HabibaFatema Tuj JohoraTanjim MahmudTanpia TasnimFarzana TasnimSumaiya KabirRaihan Ul IslamKarl Andersson
Lecture notes in networks and systems Year: 2024 Pages: 104-114