Fake news dissemination detection identifies manipulated news spreading on the internet or social media network. The ease of producing, accessing, and distributing fake news through social media simultaneously increase the spread of fake news. The rapid spreading of misinformation is also due to the sequential sharing of readers without intense analysis. Compared to other traditional learning models, deep learning models are well suited for fake news dissemination detection due to their large-scale data handling capability.
The deep learning model is utilized for automatic fake news detection to control the dissemination and diffusion of misinformation. Deep learning models automatically learn the discriminative features of fake news using deep neural networks. An efficient fake news dissemination detection model is implemented using a deep neural network.