The project aims to develop a machine-learning model capable of identifying and classifying any news article as fake or not.

Machine learning algorithms will detect the fake news automatically once they have trained. This literature review will answer the different research questions.

The study uses machine learning algorithms to detect fake news. By systematically exploring and evaluating various machine learning models, the research ...

12 июл. 2024 г. · Fake News Detection System uses machine learning to process massive volume of data, which is one of the numerous challenges in today's ...

10 сент. 2024 г. · A lot of research is already going on focused on the classification of fake news. Here we will try to solve this issue with the help of machine learning in ...

This research aims to analyze the machine learning algorithms and datasets used in training to identify fake news published in the literature.

This paper proposes a methodology to create a model that will detect if an article is authentic or fake based on its words, phrases, sources and titles, by ...

Machine Learning Techniques have shown promising results in detecting fake news with the help of analyzing vast amounts of data, in which it identifies patterns ...

In this paper, the author applied several machine learning- based fake news detection systems. The author utilized naive bayes classifier, SVM algorithm and ...

Machine learning techniques enable automated and scalable detection of fake news, which is essential given the vast volume of information shared on social media ...