In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to be effective, and introduce our own approach by fine-tuning state of the art contextualised embeddings. The results we obtain show the potential of contextualised embeddings for fake review detection, and lay the groundwork for future research in this area.
@article{arxiv.2010.15296,
title = {Fact or Factitious? Contextualized Opinion Spam Detection},
author = {Stefan Kennedy and Niall Walsh and Kirils Sloka and Jennifer Foster and Andrew McCarren},
journal= {arXiv preprint arXiv:2010.15296},
year = {2020}
}
Comments
6 pages, 3 figures, presented at the 2019 ACL Conference in Florence, Italy