The Role of User Profiles for Fake News Detection

@article{Shu2019TheRO,
  title={The Role of User Profiles for Fake News Detection},
  author={Kai Shu and Xinyi Zhou and Suhang Wang and R. Zafarani and Huan Liu},
  journal={2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)},
  year={2019},
  pages={436-439}
}
  • Kai Shu, Xinyi Zhou, +2 authors Huan Liu
  • Published 2019
  • Computer Science
  • 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  • Consuming news from social media is becoming increasingly popular. [...] Key Method In an attempt to understand connections between user profiles and fake news, first, we measure users' sharing behaviors and group representative users who are more likely to share fake and real news; then, we perform a comparative analysis of explicit and implicit profile features between these user groups, which reveals their potential to help differentiate fake news from real news. To exploit user profile features, we…Expand Abstract
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