DeepFND: an ensemble-based deep learning approach for the optimization and improvement of fake news detection in digital platform.

ABSTRACT: Early identification of false news is now essential to save lives from the dangers posed by its spread. People keep sharing false information even after it has been debunked. Those responsible for spreading misleading information in the first place should face the consequences, not the victims of their actions. Understanding how misinformation travels and how to stop it is an absolute need for society and government. Consequently, the necessity to identify false news from genuine stories has emerged with the rise of these social media platforms. One of the tough issues of conventional methodologies is identifying false news. In recent years, neural network models' performance has surpassed that of classic machine learning approaches because of their superior feature extraction. This resear

SUBMITTER: K V 

PROVIDER: S-EPMC10773750 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature