Abstract
This research identifies two types of review patterns, authentic and fake, based on configurations among reviewers and review content elements. We also explain what fake review is with IMT as theoretic background. The results, which are based on the fsQCA method, identify the combinations of configurations for authentic and fake reviews. Each pattern has unique characteristics. Authentic reviews’ patterns are explained by personality theory (i.e., five factor model). Authentic reviews represent personalities that are different, similar to individuals, while fake reviews are composed of three kinds of promotional reviews and are characterized by a reviewer’s low credibility. The fake review pattern is explained by HSM and ELM. This research confirms that different patterns seem to exist for authentic and fake reviews, although authentic reviews may be cited in reverse fake reviews via algorithms. Another finding is that the review business has expanded to the business of social networking.
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References
Bhattacherjee, A., Sanford, C.: Influence processes for information technology acceptance: an elaboration likelihood model. MIS Q. 805–825 (2006)
Braun, K.A., Ellis, R., Loftus, E.F.: Make my memory: how advertising can change our memories of the past. Psychol. Mark. 19(1), 1–23 (2002)
Cantallops, A.S., Salvi, F.: New consumer behavior: a review of research on eWOM and hotels. Int. J. Hospitality Manage. 36, 41–51 (2014)
Chao, G.T., O’Leary-Kelly, A.M., Wolf, S., Klein, H.J., Gardner, P.D.: Organizational socialization: its content and consequences. J. Appl. Psychol. 79(5), 730 (1994)
Filieri, R.: What makes an online consumer review trustworthy? Ann. Tourism Res. 58, 46–64 (2016)
Fiss, P.C.: Building better causal theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54(2), 393–420 (2011)
Gardner, W.L., Gabriel, S., Lee, A.Y.: “I” value freedom, but “we” value relationships: Self-construal priming mirrors cultural differences in judgment. Psychol. Sci. 10(4), 321–326 (1999)
Grice, H.P.: Logic and conversation. In: Cole, P., Morgan, J. (eds.) Speech acts, pp. 41–58. Academic Press, New York (1975)
Hannover, B., Kuhnen, U.: Culture, context, and cognition: The semantic procedural interface model of the self. European Review of Social Psychology 15(1), 297–333 (2004)
Lalwani, A.K., Shrum, L.J., Chiu, C.Y.: Motivated response styles: the role of cultural values, regulatory focus, and self-consciousness in socially desirable responding. J. Pers. Soc. Psychol. 96(4), 870 (2009)
Levine, T.R. (ed.): Encyclopedia of deception. Sage Publications, USA (2014)
LIWC.: How it works. LIWC website: Available at SSRN: http://liwc.wpengine.com/how-it-works/ (2017). Accessed on 05 Sept 2017
Luca, M., Zervas, G.: Fake it till you make it: reputation, competition, and Yelp review fraud. Manage. Sci. 62(12), 3412–3427 (2016)
Mayzlin, D., Dover, Y., Chevalier, J.: Promotional reviews: an empirical investigation of online review manipulation. Am. Econ. Rev. 104(8), 2421–2455 (2014)
McCornack, S.A.: The generation of deceptive messages: laying the groundwork for a viable theory of interpersonal deception. In: Greene, J.O. (ed.) Message Production: Advances in Communication Theory. Lawrence Erlbaum Associates, Mahwah, NJ (1997)
Mukherjee, A., Venkataraman, V., Liu, B., Glance, N.: Fake review detection: classification and analysis of real and pseudo reviews. Technical Report UIC-CS-2013–03. University of Illinois at Chicago, Tech. Rep (2013)
O’Connor, P.: User-generated content and travel: a case study on Tripadvisor. com. Inf. Commun. Technol. Tourism. 47–58 (2008)
Ostroff, C., Kozlowski, S.W.: Organizational socialization as a learning process: the role of information acquisition. Pers. Psychol. 45(4), 849–874 (1992)
Ott, M., Choi, Y., Cardie, C., Hancock, J.T.: Finding deceptive opinion spam by any stretch of the imagination. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp. 309–319 (2011)
Pappas, I.O., Kourouthanassis, P.E., Giannakos, M.N., Chrissikopoulos, V.: Explaining online shopping behavior with fsQCA: the role of cognitive and affective perceptions. J. Bus. Res. 69(2), 794–803 (2016)
Pinto, I., Picoto, W.N.: Configurational analysis of firms’ performance: understanding the role of Internet financial reporting. J. Bus. Res. 69(11), 5360–5365 (2016)
Rihoux, B., Ragin, C.C.: Configurational comparative methods: qualitative comparative analysis (QCA) and related techniques, vol. 51. Sage Publications, USA (2008)
Roccas, S., Sagiv, L., Schwartz, S.H., Knafo, A.: The big five personality factors and personal values. Pers. Soc. Psychol. Bull. 28(6), 789–801 (2002)
Roig-Tierno, N., Gonzalez-Cruz, T.F., Llopis-Martinez, J.: An overview of qualitative comparative analysis: a bibliometric analysis. J. Innov. Knowl. 2(1), 15–23 (2017)
Veríssimo, J.M.C.: Enablers and restrictors of mobile banking app use: a fuzzy set qualitative comparative analysis (fsQCA). J. Bus. Res. 69(11), 5456–5460 (2016)
Woodside, A.G.: Moving Beyond Multiple Regression Analysis to Algorithms: Calling for Adoption of a Paradigm Shift from Symmetric to Asymmetric Thinking in Data Analysis and Crafting Theory (2013)
Woodside, A.G., Zhang, M.: Identifying x-consumers using causal recipes: “whales” and “jumbo shrimps” casino gamblers. J. Gambl. Stud. 28(1), 13–26 (2012)
Woollacott, E.: Amazon’s Fake Review Problem is Now Worse than Ever. Forbes: Available at SRRN: https://www.forbes.com/sites/emmawoollacott/2017/09/09/exclusive-amazons-fake-review-problem-is-now-worse-than-ever/#1fbadfd27c0f (2017). Accessed on 10 Sept 2017
Xie, X., Fang, L., Zeng, S.: Collaborative innovation network and knowledge transfer performance: a fsQCA approach. J. Bus. Res. 69(11), 5210–5215 (2016)
Yang, W., Yuan, Y., Zhang, N.: Predicting Yelp Ratings Using User Friendship Network Information. Available at SSRN: http://ai2-s2-pdfs.s3.amazonaws.com/efca/0250f18603eeb67f23a5e688591921c25f6a.pdf (2015). Accessed on 05 Sept 2017
Yeung, L.N., Levine, T.R., Nishiyama, K.: Information manipulation theory and perceptions of deception in Hong Kong. Commun. Rep. 12(1), 1–11 (1999)
Yelp: Dataset Challenge. Yelp Website: Available at SSRN: https://www.yelp.com/dataset_challenge (2017a). Accessed on 05 Sept 2017
Yelp: Fake Reivews on Yelp? Don’t Worry we’ve Got Your Back. Yelp Blog: Available at SSRN: https://www.yelpblog.com/2013/09/fake-reviews-on-yelp-dont-worry-weve-got-your-back (2017b). Accessed on 05 Sept 2017
Zhang, D., Zhou, L., Kehoe, J.L., Kilic, I.Y.: What online reviewer behaviors really matter? Effects of verbal and nonverbal behaviors on detection of fake online reviews. J. Manage. Inf. Syst. 33(2), 456–481 (2016)
Zhang, K.Z., Zhao, S.J., Cheung, C.M., Lee, M.K.: Examining the influence of online reviews on consumers’ decision-making: a heuristic–systematic model. Decis. Support Syst. 67, 78–89 (2014)
Zhang, W., Watts, S.A.: Capitalizing on content: information adoption in two online communities. J. Assoc. Inf. Syst. 9(2), 73 (2008)
Acknowledgements
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A3A2925146).
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Lee, K., Ham, J., Yang, SB., Koo, C. (2018). Can You Identify Fake or Authentic Reviews? An fsQCA Approach. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_17
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DOI: https://doi.org/10.1007/978-3-319-72923-7_17
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