Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning

@article{Kumar2018DetectingRM,
  title={Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning},
  author={N. Kumar and D. Venugopal and L. Qiu and S. Kumar},
  journal={Journal of Management Information Systems},
  year={2018},
  volume={35},
  pages={350 - 380}
}
  • N. Kumar, D. Venugopal, +1 author S. Kumar
  • Published 2018
  • Computer Science
  • Journal of Management Information Systems
  • Abstract Opinion spammers exploit consumer trust by posting false or deceptive reviews that may have a negative impact on both consumers and businesses. These dishonest posts are difficult to detect because of complex interactions between several user characteristics, such as review velocity, volume, and variety. We propose a novel hierarchical supervised-learning approach to increase the likelihood of detecting anomalies by analyzing several user features and then characterizing their… CONTINUE READING
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