首页|期刊导航|Computers, Materials & Continua|A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection
Computers, Materials & Continua2026,Vol.86Issue(1):P.1024-1048,25.DOI:10.32604/cmc.2025.069327
A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection
摘要
关键词
Fake news detection/tokenization/SMOTE/text-to-text transfer transformer(T5)/long short-term memory(LSTM)/self-attention mechanism(SA)/T5-SA-LSTM/WELFake dataset/FakeNewsPrediction dataset分类
信息技术与安全科学引用本文复制引用
Hamza Murad Khan,Shakila Basheer,Mohammad Tabrez Quasim,Raja`a Al-Naimi,Vijaykumar Varadarajan,Anwar Khan..A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection[J].Computers, Materials & Continua,2026,86(1):P.1024-1048,25.基金项目
supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R195) (PNURSP2025R195)
Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia. ()