Behavioral analysis of review fraud: Linking malicious crowdsourcing to Amazon and beyond Conference Paper uri icon

abstract

  • © Copyright 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. We exploit the prevalence of malicious review writers on crowdsourcing platforms like Rapid Workers to identify actual fraud reviews on Amazon. Complementary to previous efforts which often rely on proxies for fraud reviews, we present a long-term study of actual fraudulent behaviors in online review manipulation. We find that these malicious reviewers - though often providing seemingly legitimate opinions - do exhibit significant differences from normal reviewers in terms of ratings distribution, length of the reviews, and the burstiness of the reviews themselves. We additionally study the evolution of these reviews, and find striking temporal changes that could support future discovery of these reviewers who may be "hiding in plain sight".

author list (cited authors)

  • Kaghazgaran, P., Caverlee, J., & Alfifi, M.

publication date

  • January 2017