Summary of Aigen-foodreview: a Multimodal Dataset Of Machine-generated Restaurant Reviews and Images on Social Media, by Alessandro Gambetti et al.
AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media
by Alessandro Gambetti, Qiwei Han
First submitted to arxiv on: 16 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: This research paper tackles the problem of fake online reviews generated by machines, which can be highly convincing and inexpensive to produce. The authors create a new dataset called AiGen-FoodReview, comprising 20,144 restaurant review-image pairs, with half being authentic and the other half machine-generated using OpenAI’s GPT-4-Turbo and DALL-E-2 models. They develop unimodal and multimodal detection models to identify fake reviews, achieving an impressive 99.80% accuracy with FLAVA, a multimodal model. The paper also evaluates readability and photographic attributes as features in detection models, demonstrating their effectiveness. By open-sourcing the dataset and releasing fake review detectors, this research aims to help address the issue of machine-generated fake content in online reviews. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: Have you ever wondered if those glowing restaurant reviews are real or just made up by someone? This paper is all about making sure we can tell the difference between real and fake online reviews. The researchers created a big dataset with 20,000 restaurant review pictures to test how well different methods can spot fake reviews. They found that using both words and images helps us detect fake reviews really well. By sharing their work, they hope to help make online reviews more trustworthy. |
Keywords
* Artificial intelligence * Gpt
