Fake News Detection on Social Media: A Data Mining Perspective

@article{Shu2017FakeND,
  title={Fake News Detection on Social Media: A Data Mining Perspective},
  author={Kai Shu and A. Sliva and Suhang Wang and Jiliang Tang and Huan Liu},
  journal={ArXiv},
  year={2017},
  volume={abs/1708.01967}
}
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of \fake news", i.e., low quality news with intentionally false information. The extensive spread of fake news has the potential for extremely negative impacts on individuals and society. Therefore, fake news detection on social media has recently… Expand
Understanding User Profiles on Social Media for Fake News Detection
  • Kai Shu, Suhang Wang, H. Liu
  • Computer Science
  • 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)
  • 2018
TLDR
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Social media is becoming popular for news consumption due to its fast dissemination, easy access, and low cost. However, it also enables the wide propagation of fake news, i.e., news withExpand
Beyond News Contents : The Role of Social Context for Fake News Detection
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