Information Quality of Online Reviews in the Presence of Potentially Fake Reviews
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Online reviews are important in the evaluation of product quality. This paper seeks to assess information quality of online reviews using the TripAdvisor data for Korean hotels. We first estimate the review model developed by Dai, Jin, Lee, and Luca (2012) and show that high-quality reviews contain most of the information for the quality of hotels. Second, we assess the degree of distortions caused by fake reviews through numerical experiments and show that the distortions of fake reviews are serious. Third, we compare the simple average and weighted average aggregation methods. Weighted average method is better than simple average in finding the quality of hotels but it is more vulnerable to fake reviews. Fourth, we suggest excluding low-quality reviews to deal with fake reviews and show that the benefit of avoiding serious distortions from potentially fake reviews is greater than the cost of losing information from low-quality reviews.
Abstract
Online reviews are important in the evaluation of product quality. This paper seeks to assess information quality of online reviews using the TripAdvisor data for Korean hotels. We first estimate the review model developed by Dai, Jin, Lee, and Luca (2012) and show that high-quality reviews contain most of the information for the quality of hotels. Second, we assess the degree of distortions caused by fake reviews through numerical experiments and show that the distortions of fake reviews are serious. Third, we compare the simple average and weighted average aggregation methods. Weighted average method is better than simple average in finding the quality of hotels but it is more vulnerable to fake reviews. Fourth, we suggest excluding low-quality reviews to deal with fake reviews and show that the benefit of avoiding serious distortions from potentially fake reviews is greater than the cost of losing information from low-quality reviews.
참고문헌 (37)
- Akoglu, L., "Opinion Fraud Detection in Online Reviews by Network Effects", Proceedings of the Seventh International AAAI Conference on Web and Social Media (2013)
- Ayeh, J. K., "“Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude Toward Using User-generated Content", Journal of Travel Research, 52(4), pp.437~452 (2013)
- Banerjee, A. V, "A Simple Model of Herd Behavior", Quarterly Journal of Economics, 107(3), pp.797~817 (1992)
- On Information Distortions in Online Ratings, "Besbes, O.", ~ (2015)
- Bikhchandani, S., "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades", Journal of Political Economy, 100(5), pp.992~1026 (1992)
- Buhalis, D., "Progress in Information Technology and Tourism Management : 20 Years on and 10 Years after the Internet-The State of eTourism Research", Tourism management, 29(4), pp.609~623 (2008)
- Celen, B., "Observational Learning under Imperfect Information", Games and Economic Behavior, 47(1), pp.72~86 (2004)
- Crapis, D., "Monopoly Pricing in the Presence of Social Learning", Management Science (2017)
- Optimal Aggregation of Consumer Ratings: An Application to Yelp.com, "Dai, W.", National Bureau of Economic Research, ~, pp.NBER Working Paper, No. 18567 (2012)
- Feng, S., "Distributional Footprints of Deceptive Product Reviews", Proceedings of the Sixth International AAAI Conference on Web and Social Media (2012)
- Filieri, R., "E-WOM and Accommodation : An Analysis of the Factors that Influence Travelers’ Adoption of Information from Online Reviews", Journal of Travel Research, 53(1), pp.44~57 (2014)
- Goeree, J. K., "Social Learning with Private and Common Values", Economic theory, 28(2), pp.245~264 (2006)
- Herrera, H., "Biased Social Learning", Games and Economic Behavior, 80, pp.131~146 (2013)
- Hu, N., "Manipulation in Digital Word-of-Mouth : A Reality Check for Book Reviews", Decision Support Systems, 50(3), pp.627~635 (2011)
- Hu, N., "Manipulation of Online Reviews : An Analysis of Ratings, Readability, and Sentiments", Decision Support Systems, 52(3), pp.674~684 (2012)
- Hu, N., "Fraud Detection in Online Consumer Reviews", Decision Support Systems, 50(3), pp.614~626 (2011)
- Bayesian Social Learning from Consumer Reviews, "Ifrach, B.", ~ (2015)
- Kim, M. -J., "The Effect of Perceived Trust on Electronic Commerce: Shopping Online for Tourism Products and Services in South Korea", Tourism Management, 32(2), pp.256~265 (2011)
- Li, X., "Self-Selection and Information Role of Online Product Reviews", Information Systems Research, 19, pp.456~474 (2008)
- Litvin, S. W., "Electronic Word-of-Mouth in Hospitality and Tourism Management", Tourism Management, 29(3), pp.458~468 (2008)
- Liu, Z., "What Makes a Useful Online Review? Implication for Travel Product Websites", Tourism Management, 47, pp.140~151 (2015)
- Luca, M., "Fake It till You Make It; Reputation, Competition, and Yelp Review Fraud", Management Science, 62(12), pp.3412~3427 (2016)
- Mauri, A. G., "Web Reviews Influence on Expectations and Purchasing Intentions of Hotel Potential Customers", International Journal of Hospitality Management, 34, pp.99~107 (2013)
- Mayzlin, D., "Promotional Reviews : An Empirical Investigation of Online Review Manipulation", American Economic Review, 104(8), pp.2421~2455 (2014)
- Mukherjee, A., "Spotting Fake Reviewer Groups in Consumer Reviews", Proceedings of the 21st International Conference on World Wide Web, pp.191~200 (2012)
- Mukherjee, A., "Detecting Group Review Spam", Proceedings of the 21st International Conference Companion on World Wide Web, pp.93~94 (2011)
- Mukherjee, A., "What Yelp Fake Review Filter Might Be Doing?", Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media (2013)
- O’Connor, P, "Information and Communication Technologies in Tourism", pp.47~58 (2008)
- O’Connor, P, "Managing a Hotel’s Image on TripAdvisor", Journal of Hospitality Marketing & Management, 19(7), pp.754~772 (2010)
- Ott, M., "Finding Deceptive Opinion Spam by Any Stretch of the Imagination", Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp.309~319 (2011)
- Peng, Q., "Detecting Spam Review Through Sentiment Analysis", Journal of Software, 9(8), pp.2065~2072 (2014)
- Racherla, P., "What Determines Consumers’Ratings of Service Providers? An Exploratory Study of Online Traveler Reviews", Journal of Hospitality Marketing & Management, 22(2), pp.135~161 (2013)
- Schuckert, M., "Hospitality and Tourism Online Reviews : Recent Trends and Future Directions", Journal of Travel & Tourism Marketing, 32(5), pp.608~621 (2015)
- Sparks, B. A., "The Impact of Online Reviews on Hotel Booking Intentions and Perception of Trust", Tourism Management, 32(6), pp.1310~1323 (2011)
- "Buy Reviews on Yelp, Get Black Mark" (2012)[URL]
- Wu, M. Y., "Shopping Experiences : International Tourists in Beijing's Silk Market", Tourism Management, 41, pp.96~106 (2014)
- Xiang, Z., "Role of Social Media in Online Travel Information Search", Tourism Management, 31(2), pp.179~188 (2010)