Comparative Analysis of Hybrid CNN+RNN and BiLSTM for Fake News Detection in Healthcare

Distinguishing counterfeit news is an essential undertaking in the contemporary era of digital technology. Fabricated news refers to information that has been deliberately fabricated or manipulated and is then published as legitimate news to mislead readers or viewers. To maintain the reliability of information sources and promote well-informed decision-making, It is imperative to combat the spread of inaccurate information. This paper tries to provide a brief insight into the deep learning/machine learning based approaches which have been provided recent times to counter fake news detection Specialists have explored various approaches to detect and prevent the dissemination of false information. This work is the analysis of some methods for detecting false information in the healthcare domain by utilizing Hybrid CNN+RNN and BiLSTM.