Paper: Identifying Manipulated Offerings on Review Portals

ACL ID D13-1199
Title Identifying Manipulated Offerings on Review Portals
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Recent work has developed supervised meth- ods for detecting deceptive opinion spam? fake reviews written to sound authentic and deliberately mislead readers. And whereas past work has focused on identifying individ- ual fake reviews, this paper aims to identify offerings (e.g., hotels) that contain fake re- views. We introduce a semi-supervised man- ifold ranking algorithm for this task, which relies on a small set of labeled individual re- views for training. Then, in the absence of gold standard labels (at an offering level), we introduce a novel evaluation procedure that ranks artificial instances of real offer- ings, where each artificial offering contains a known number of injected deceptive reviews. Experiments on a novel dataset of hotel re- views show that the proposed method outp...