What is it about?
The main goal of our research is to develop a model capable of automatically detecting truth given an Arabic news or claim. In particular, we propose a deep neural network approach that can classify fake and real news claims by exploiting ‘Convolutional Neuron Networks’.
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Why is it important?
Our approach attempts to solve the problem from the fact checking perspective, where the fact-checking task involves predicting whether a given news text claim is factually authentic or fake. An extensive evaluation has been conducted to demonstrate the ability of the fact-checking task in detecting the Arabic fake news.
Perspectives
This paper gave us an opportunity to contribute to enriching research related to the detection of false and fake news. It was a great project and we are continuing with more successful achievements
Fouzi Harrag
Universite Ferhat Abbas Setif 1
Read the Original
This page is a summary of: Arabic Fake News Detection: A Fact Checking Based Deep Learning Approach, ACM Transactions on Asian and Low-Resource Language Information Processing, July 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3501401.
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