Fake news detection through feature fusion: Leveraging RoBERTa and knowledge graphs with gating

• المؤلف الرئيسي: Fang, Zhuohao
• مؤلفون آخرون: Na Jin Cheon
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Fake news detection; RoBERTa; Knowledge graph; Feature fusion; Gated units
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181597

This dissertation explores feature fusion by combining RoBERTa and Knowledge Graph (KG) techniques using Gated Units to improve the accuracy of fake news detection. In text processing, RoBERTa model is able to understand and classify false content effectively due to its pre-training advantage. On th...