To catch a fake: Curbing deceptive Yelp ratings and venues

DOI10.1002/sam.11264OpenAlexW2166617166MaRDI QIDQ4970003

Duen Horng Chau (Polo), Mahmudur Rahman, Jaime Ballesteros, Bogdan Carbunar

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11264

zbMATH Keywords

machine learningdeceptive venue detectionfake review detection

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Balls into bins with related random choices
• A survey of outlier detection methodologies
• A survey on unsupervised outlier detection in high‐dimensional numerical data
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