Internet privacy

World Wide Web

Supervised learning

Artificial intelligence

Set (abstract data type)

Programming language

Data science

Fake news

Computer science

Social media

Artificial neural network

IEEE Intelligent Systems

A large body of recent works has focused on understanding and detecting fake news stories that are disseminated on social media. To accomplish this goal, these works explore several types of features extracted from news stories, including source and posts from social media. In addition to exploring the main features proposed in the literature for fake news detection, we present a new set of features and measure the prediction performance of current approaches and features for automatic detection of fake news. Our results reveal interesting findings on the usefulness and importance of features for detecting false news. Finally, we discuss how fake news detection approaches can be used in the practice, highlighting challenges and opportunities.

Supervised Learning for Fake News Detection