An Artificial intelligence Approach to Fake News Detection in the Context of the Morocco Earthquake.

The catastrophic earthquake that struck Morocco on September 8, 2023, garnered significant media coverage, leading to the swift dissemination of information across various social media and online plat- forms. However, the heightened visibility also gave rise to a surge in fake news, presenting formidable challenges to the efficient distribution of accurate information crucial for effective crisis management. This paper introduces an innovative approach to detection by integrating Natural language processing, bidirectional long-term memory (Bi-LSTM), convolutional neural network (CNN), and hierarchical attention network (HAN) models within the context of this seismic event. Leveraging advanced machine learning,deep learning, and data analysis techniques, we have devised a sophisticated fake news detection model capable of precisely identifying and categorizing misleading information. The amal gamation of these models enhances the accuracy and efficiency of our system, addressing the pressing need for reliable information amidst the chaos of a crisis. [ABSTRACT FROM AUTHOR]