Fact or Factitious? Contextualized Opinion Spam Detection
This work addresses the issue of deceptive reviews for online platforms, but it is incremental as it builds on existing methods with minor improvements.
The paper tackled the problem of detecting fake online reviews by comparing existing machine learning techniques and introducing a new approach using fine-tuned contextualized embeddings, showing their potential for this task.
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.