This study offers a comprehensive technique for identifying false news, including dataset collection, text preprocessing, feature extraction, and Machine Learning algorithms. The dataset used includes ...

Their findings indicate that integrating emotional features, particularly negative emotions, into machine learning ... data significantly improved the accuracy and reliability of fake news detection.

With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the ...

There have been innumerous case of fake news being shared and promoted for private propaganda. In this project we have tried to determine the authenticity of the news posts on Facebook by using ...

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 ...

Fake news and deceptive machine-generated text comprise a serious problem threatening modern societies, including in the Arab world. This motivates work on detecting false and manipulated stories ...

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 ...