Integrating Large Language Models and Machine Learning for Fake News Detection
Author:
Affiliation:
1. Sunway University,Department of Computing and Information Systems,Sunway City,Selangor,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10525259/10525269/10525308.pdf?arnumber=10525308
Reference30 articles.
1. Causes and consequences of mainstream media dissemination of fake news: literature review and synthesis
2. Problem Understanding of Fake News Detection from a Data Mining Perspective
3. Using Linguistics and Psycholinguistics Features in Machine Learning for Fake News Classification Through Twitter
4. Fake News Detection Using Social Media User Network and Engagement Features
5. Detecting Fake News with Tweets’ Properties
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fact or Fake? How News Title, Sentiment and Writing Style help AI to detect COVID-19 Fake News?;Applied Artificial Intelligence;2024-08-10
2. A Literature Review of Notification Systems: Challenges and Opportunities for Fake News Alerts;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29
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