Department of Mathematics and Computer Science, Summit University, Offa, Nigeria
Review Article
Enhancing Accuracy in Fake News Detection through Advanced Natural Language Processing Techniques
Author(s): J.A. Benya* and R.D. Azeez
The advent of machine learning algorithms has put a treat in fake news in 21st century. Today, technology has proved that any information that are put on internet will be scrutinize in other to ascertain the authenticity of the information. This fake news can be a derogatory message against country, organization, individual, society and political parties because its fake news and it can be in any form. Today, there are many social media, platforms that many users can post uncensored messages without authenticity and as a results any user can make a post or spread the news through these online platforms. These platforms do not embed any of the machine learning classifiers to verify their posts as a result this research will use machine learning classifiers that can detect this fake news automatically and the use of machine learning classifiers for detecting the fake news is .. View More»
DOI:
10.35248/IJIRSET.25.6(1).002
