In an era of digital misinformation, this project addresses the challenge of identifying fake news by analyzing a dataset of real and fake news articles. Using Natural Language Processing (NLP) ...

Abstract: Fake ... on fake news detection and select the best conventional machine learning frameworks to develop an algorithm for supervised machine learning. The algorithm will be able to classify ...

The performance of the proposed model is analyzed by using a large ... the potential of machine learning techniques, such as logistic regression, decision tree, random forest, and passive aggressive ...

Researchers proposed solutions to combat the spread of fake news using a combination of machine learning ... data and algorithms to identify signs of misinformation and enhance the detection ...

This kind of artificial intelligence trains algorithms to classify ... identifies linguistic characteristics to detect fake news using machine learning and natural language processing technology.

There’s also the question of ethics, as in data privacy and fairness, when it comes to using ... detection, and recommendation systems.” “Machine learning is the study of computer algorithms ...

The framework would use data and algorithms to spot indicators of misinformation and use those examples to inform and improve the detection ... the machine learning system could help fake news ...

We have also observed how political parties instigate the public by using ... topic of fake news because generally we make the algorithms according to our needs. Even after applying deep learning ...