Fake News Detection Using Machine Learning and Deep Learning Techniques
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Date
2023-06-10
Authors
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Publisher
University of M'sila
Abstract
Detecting fake news has become a critical challenge in the digital era, where information
spreads rapidly through various online platforms. This work focuses on the development
and application of machine learning and deep learning techniques and develops a recurrent
neural network (RNN)-based fake news detection model. The goal of this model is to
accurately identify and classify fake news. Through our experimental work, we have
demonstrated the high effectiveness and accuracy of this model in distinguishing fake
news from genuine information.
Description
Keywords
Fake News Detection, Deep Learning, Machine Learning, Artificial Neural Networks, Recurrent Neural Network.