Corpus ID: 11745767

ICE: Information Credibility Evaluation on Social Media via Representation Learning

@article{Liu2016ICEIC,
  title={ICE: Information Credibility Evaluation on Social Media via Representation Learning},
  author={Q. Liu and Shu Wu and Feng Yu and Liang Wang and Tieniu Tan},
  journal={ArXiv},
  year={2016},
  volume={abs/1609.09226}
}
With the rapid growth of social media, rumors are also spreading widely on social media and bring harm to people's daily life. [...] Key Method The aggregation of these factors in the microblog spreading process yields the representation of a user's behavior, and the aggregation of these dynamic representations generates the credibility representation of an event spreading on social media. Moreover, a pairwise learning method is applied to maximize the credibility difference between rumors and non-rumors. To…Expand
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