Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media
Gambetti, Alessandro, Han, Qiwei
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Apr-21-2023
- Country:
- Europe
- Austria > Vienna (0.04)
- France > Auvergne-Rhône-Alpes
- Portugal > Lisbon
- Lisbon (0.04)
- United Kingdom > England
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- Genre:
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- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Consumer Products & Services > Restaurants (0.46)
- Health & Medicine (1.00)
- Information Technology > Services (0.46)
- Technology: