  Recent advances in generative models such as GPT may be used to fabricate
indistinguishable fake customer reviews at a much lower cost, thus posing
challenges for social media platforms to detect these machine-generated fake
reviews. We propose to leverage the high-quality elite restaurant reviews
verified by Yelp to generate fake reviews from the OpenAI GPT review creator
and ultimately fine-tune a GPT output detector to predict fake reviews that
significantly outperform existing solutions. We further apply the model to
predict non-elite reviews and identify the patterns across several dimensions,
such as review, user and restaurant characteristics, and writing style. We show
that social media platforms are continuously challenged by machine-generated
fake reviews, although they may implement detection systems to filter out
suspicious reviews.
