High Precision Credibility Analysis of Information on Twitter

@article{Namihira2013HighPC,
  title={High Precision Credibility Analysis of Information on Twitter},
  author={Yoshimi Namihira and Naomichi Segawa and Yukino Ikegami and Kenta Kawai and Takashi Kawabe and Setsuo Tsuruta},
  journal={2013 International Conference on Signal-Image Technology & Internet-Based Systems},
  year={2013},
  pages={909-915}
}
On and after the Great Eastern Japan Earthquake, various false information and rumor have been spread on Twitter. To cope with this, we proposed the method for automatically assessing the credibility of information based on the topic and opinion classification[16]. The information credibility is assessed calculating the ratio of the same opinions to all opinions about a topic. To identify the topic of a tweet, topic models are generated using Latent Dirichlet Allocation. To identify if an… CONTINUE READING

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