Homogeneity-Based Transmissive Process to Model True and False News in Social Networks

@article{Kim2019HomogeneityBasedTP,
  title={Homogeneity-Based Transmissive Process to Model True and False News in Social Networks},
  author={Jooyeon Kim and Dongkwan Kim and Alice H. Oh},
  journal={Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
  year={2019}
}
An overwhelming number of true and false news stories are posted and shared in social networks, and users diffuse the stories based on multiple factors. Diffusion of news stories from one user to another depends not only on the stories' content and the genuineness but also on the alignment of the topical interests between the users. In this paper, we propose a novel Bayesian nonparametric model that incorporates homogeneity of news stories as the key component that regulates the topical… Expand
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