Towards De-Anonymization of Google Play Search Rank Fraud

IEEE Transactions on Knowledge and Data Engineering(2021)

Cited 4|Views108
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Abstract
Search rank fraud, the fraudulent promotion of products hosted on peer-review sites, is driven by expert workers recruited online, often from crowdsourcing sites. In this paper we introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in peer-review sites. We collect and study data f...
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Key words
Crowdsourcing,Google,Standards,Search problems,Gold,Detection algorithms,Supervised learning
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