Estimating the prevalence of deception in online review communities

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web

Volumn , Issue , 2012, Pages 201-210

  Ott, Myle ^a   Cardie, Claire ^a   Hancock, Jeff ^b  

^a Department of Computer Science and School of Operations Research and Information Engineering   (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

Deception prevalence; Deceptive opinion spam; Gibbs sampling; Online reviews; Signaling theory

Indexed keywords

DECEPTION PREVALENCE; DECEPTIVE OPINION SPAM; GENERATIVE MODEL; GIBBS SAMPLING; INFORMATION ASYMMETRY; PURCHASE DECISION; SIGNALING COSTS; SIGNALING THEORY; THEORETICAL MODELS;

CONSUMER BEHAVIOR; WORLD WIDE WEB;

SIGNAL SAMPLING;

EID: 84860879004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187836.2187864     Document Type: Conference Paper

References (23)

1. C. Bond and B. DePaulo. Accuracy of deception judgments. Personality and Social Psychology Review, 10(3):214, 2006.
2. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:127:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
3. Cone. 2011 Online Inuence Trend Tracker. Online: http://www.coneinc.com/ negative-reviews-online-reverse-purchase-decisions, August 2011.
4. B. DePaulo, D. Kashy, S. Kirkendol, M. Wyer, and J. Epstein. Lying in everyday life. Journal of personality and social psychology, 70(5):979, 1996.
5. J. Hancock. Digital Deception: The Practice of Lying in the Digital Age. Deception: Methods, Contexts and Consequences, pages 109-120, 2009.
6. J. Hancock, J. Thom-Santelli, and T. Ritchie. Deception and design: The impact of communication technology on lying behavior. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 129-134. ACM, 2004.
7. N. Hu, L. Liu, and J. Zhang. Do online reviews affect product sales? The role of reviewer characteristics and temporal effects. Information Technology and Management, 9(3):201-214, 2008.
8. N. Jindal and B. Liu. Opinion spam and analysis. In Proceedings of the international conference on Web search and web data mining, pages 219-230. ACM, 2008.
9. W. Johnson, J. Gastwirth, and L. Pearson. Screening without a \gold standard": The Hui-Walter paradigm revisited. American Journal of Epidemiology, 153(9):921, 2001.
10. L. Joseph, T. Gyorkos, and L. Coupal. Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. American Journal of Epidemiology, 141(3):263, 1995.
11. E. Lim, V. Nguyen, N. Jindal, B. Liu, and H. Lauw. Detecting product review spammers using rating behaviors. In Proceedings of the 19th ACM international conference on Information and knowledge management, pages 939-948. ACM, 2010.
12. D. Meyer. Fake reviews prompt belkin apology. http://news.cnet.com/8301- 1001-3-10145399-92.html, Jan. 2009.
13. R. Mihalcea and C. Strapparava. The lie detector: Explorations in the automatic recognition of deceptive language. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 309-312. Association for Computational Linguistics, 2009.
14. C. Miller. Company settles case of reviews it faked. http://www.nytimes. com/2009/07/15/technology/internet/15lift.html July 2009.
15. M. Ott, Y. Choi, C. Cardie, and J. Hancock. Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 309-319. Association for Computational Linguistics, 2011.
16. B. Page. Amazon withdraws ebook explaining how to manipulate its sales rankings. http://www.guardian.co.uk/books/2011/jan/05/amazon-ebook-manipulate- kindle-rankings, Jan. 2011.
17. K. Serota, T. Levine, and F. Boster. The prevalence of lying in America: Three studies of self-reported lies. Human Communication Research, 36(1):2-25, 2010.
18. M. Spence. Job market signaling. The quarterly journal of Economics, 87(3):355, 1973.
19. D. Streitfeld. In a race to out-rave, 5-star web reviews go for $5. http://www.nytimes.com/2011/08/20/technology/finding-fake-reviews- online.html, Aug. 2011.
20. D. Streitfeld. For $2 a star, an online retailer gets 5-star product reviewshttp://www.nytimes.com/2012/01/27/technology/for-2-a-star-a- retailer-gets-5-star-reviews.html, Jan. 2012.
21. A. Topping. Historian Orlando Figes agrees to pay damages for fake reviews. http://www.guardian.co.uk/books/2010/jul/16/orlando-figes-fake-amazon- reviews, July 2010.
22. A. Vrij. Detecting lies and deceit: Pitfalls and opportunities. Wiley-Interscience, 2008.
23. K. Yoo and U. Gretzel. Comparison of Deceptive and Truthful Travel Reviews. Information and Communication Technologies in Tourism 2009, pages 37-47, 2009.