A Robust Smart Model for Detecting Hindi Fake News on Social Media Platforms Using Hybrid Deep Learning Approach

The proliferation of misleading information throughout social media platforms presents substantial issues to society, particularly in communities that are bilingual and multicultural. It is especially difficult to spot fake news in languages other than English, such as Hindi, due to the linguistic and cultural disparities between the two languages. Using a method known as Hybrid Deep Learning, which involves the combination of convolutional Neural Networks (CNN) and Long Short-Term Memory networks, the authors of this study offer a sophisticated model that can identify bogus news in Hindi (LSTM). For a more complete picture, our approach takes into account not only textual but also visual and user interaction indicators. The model was shown to perform better than existing approaches in terms of accuracy, precision, recall, and F1-score when subjected to extensive testing on real-world social media datasets. This contribution helps those working to counteract the widespread dissemination of disinformation across social media platforms throughout the world.