In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python. The data source used ...

Numerous academicians are endeavoring to spot spurious news, and Machine Learning has been shown to be fruitful. In this paper, varied Machine Learning Algorithms are utilized to generate models to ...

In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python. The data source used ...

The spread of false news via social and other media platforms is a major worry because it has the potential to cause significant harm to societies and nations. As a result, many academics are trying ...

"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 ...

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 ...

Machine learning, blockchain technology could help counter spread of fake news Date: August 1, 2023 Source: Binghamton University Summary: A proposed machine learning framework and expanded use of ...