Synthetic review spamming and defense

88 citations recorded by the source corpus.

How researchers see this paper

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Automated Crowdturfing Attacks and Defenses in Online Review Systems (2017, methodology): “There are a number of natural language generation techniques based on pre-defined templates [57, 58, 67, 71].”
REV2: Fraudulent User Prediction in Rating Platforms (2018, methodology): “Commonly used features are derived from timestamps [21, 35, 37] and review text [5, 27, 29].”
Quantifying herding effects in crowd wisdom (2014, background): “Finally, there have been a number of interesting studies into the semantics of collective opinions, such as that analyze the text and social aspects of product reviews [10, 15, 21, 9].”