Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/1254> ?p ?o. }
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- 1254 creator claire-cardie.
- 1254 creator jeff-hancock.
- 1254 creator myle-ott.
- 1254 type InProceedings.
- 1254 label "Estimating the Prevalence of Deception in Online Review Communities".
- 1254 sameAs 1254.
- 1254 abstract "Consumers' purchase decisions are increasingly influenced by user-generated online reviews. Accordingly, there has been growing concern about the potential for deceptive opinion spam---fictitious reviews that have been deliberately written to sound authentic, to deceive the reader. But while this practice has received considerable public attention and concern, relatively little is known about the actual prevalence, or rate, of deception in online review communities, and less still about the factors that can influence it. We propose a generative model of deception, which we use in conjunction with a deception classifier to explore the prevalence of deception in six popular online review communities: Expedia, Hotels.com, Orbitz, Priceline, TripAdvisor, and Yelp. We additionally propose a theoretical model of online reviews based on economic signaling theory, in which consumer reviews diminish the inherent information asymmetry between consumers and producers, by acting as a signal to a product's true, unknown quality. We find that deceptive opinion spam is a growing problem overall, but with different growth rates across communities. These rates, we argue, are driven by the different signaling costs associated with deception for each review site, e.g., posting requirements. When measures are taken to increase signaling cost, e.g., filtering reviews written by first-time reviewers, deception prevalence is effectively reduced.".
- 1254 hasAuthorList authorList.
- 1254 isPartOf proceedings.
- 1254 keyword "Gibbs sampling".
- 1254 keyword "deception prevalence".
- 1254 keyword "deceptive opinion spam".
- 1254 keyword "online reviews".
- 1254 keyword "signaling theory".
- 1254 title "Estimating the Prevalence of Deception in Online Review Communities".