The Aims of this projects is to use the Natural Language Processing and Machine learning to detect the Fake news based on the text content of the Article.And after building the suitable Machine ...

The project aims to develop a machine-learning model capable of identifying and classifying any news article as fake or not. The distribution of fake news can potentially have highly adverse effects ...

Researchers found that integrating emotional features, particularly negative emotions, into machine learning models enhances the accuracy of fake news detection on social media platforms. This ...

Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

"If your false-positive rate is as low as 0.1%, even then you are mistakenly flagging 10 tweets per second, or more than 800,000 per day, for manual review," said Shrivastava adding that this is ...

People are inundated with info every single day.Each minute, there are 98,000 tweets, 160 million emails sent, and 600 videos uploaded to YouTube. Politicians. Marketers. News outlets.