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Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media

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arxiv 2302.07731 v3 pith:E6P675L4 submitted 2023-02-10 cs.CL cs.AIcs.IRcs.LG

classification cs.CLcs.AIcs.IRcs.LG
keywords reviewsfakemachine-generatedmediarestaurantsocialplatformspredict
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go

    cs.HC 2024-12 conditional novelty 4.0 of 10

    Adding LLM-based cleanup and an edit-by-prompt agent to a voice-based review app raised users' willingness to share reviews and their self-reported confidence in a 14-participant field study.

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