Paper: Negative Deceptive Opinion Spam

ACL ID N13-1053
Title Negative Deceptive Opinion Spam
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

The rising influence of user-generated online reviews (Cone, 2011) has led to growing in- centive for businesses to solicit and manufac- ture DECEPTIVE OPINION SPAM?fictitious reviews that have been deliberately written to sound authentic and deceive the reader. Re- cently, Ott et al. (2011) have introduced an opinion spam dataset containing gold standard deceptive positive hotel reviews. However, the complementary problem of negative deceptive opinion spam, intended to slander competitive offerings, remains largely unstudied. Follow- ing an approach similar to Ott et al. (2011), in this work we create and study the first dataset of deceptive opinion spam with negative sen- timent reviews. Based on this dataset, we find that standard n-gram text categorization tech- niques can detect negat...