Overview of Methods and Technologies for Detecting Fake News Based on Text Analysis and Machine Learning

Abstract

This article presents an overview of modern approaches and methods for detecting fake news in the online 
space. Key natural language processing (NLP) technologies and machine learning algorithms used in text 
classification tasks are discussed. Special attention is paid to the effectiveness of different models, methods of 
automating information verification, and the prospects for further development of intelligent systems for detecting 
fake news. Comparative characteristics of the methods used are presented, and the main challenges in this field are 
analyzed.