Contents Social media systems have been dramatically changing the way news is produced, disseminated, and consumed, opening unforeseen opportunities, but also creating complex challenges. A key problem today is that social media has become a place for campaigns of misinformation that affect the credibility of the entire news ecosystem.
Abstract:
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 expl...Show MoreMetadata
Abstract:
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.
Published in: IEEE Intelligent Systems ( Volume: 34, Issue: 2, March-April 2019)
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