IDEAS home Printed from https://ideas.repec.org/r/inm/orisre/v27y2016i4p940-961.html
   My bibliography  Save this item

The Impact of Fake Reviews on Online Visibility: A Vulnerability Assessment of the Hotel Industry

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
  2. Guo, Qiaozhen & Chen, Ying-Ju & Huang, Wei, 2022. "Dynamic pricing of new experience products with dual-channel social learning and online review manipulations," Omega, Elsevier, vol. 109(C).
  3. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
  4. Xiaohui Zhang & Qianzhou Du & Zhongju Zhang, 2022. "A theory‐driven machine learning system for financial disinformation detection," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3160-3179, August.
  5. Koukova, Nevena T. & Wang, Rebecca Jen-Hui & Isaac, Mathew S., 2023. "“If you loved our product”: Do conditional review requests harm retailer loyalty?," Journal of Retailing, Elsevier, vol. 99(1), pages 85-101.
  6. Yipu Deng & Jinyang Zheng & Warut Khern-am-nuai & Karthik Kannan, 2022. "More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform," Management Science, INFORMS, vol. 68(9), pages 6865-6888, September.
  7. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
  8. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
  9. Marios Kokkodis & Theodoros Lappas & Gerald C. Kane, 2022. "Optional purchase verification in e‐commerce platforms: More representative product ratings and higher quality reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2943-2961, July.
  10. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
  11. Hung-Pin Shih & Pei-Chen Sung, 2021. "Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance," Information Systems Frontiers, Springer, vol. 23(3), pages 649-661, June.
  12. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
  13. Changseung Yoo & Eunae Yoo & Lu (Lucy) Yan & Alfonso Pedraza-Martinez, 2024. "Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 551-569, June.
  14. Wei Chen & Bin Gu & Qiang Ye & Kevin Xiaoguo Zhu, 2019. "Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews," Service Science, INFORMS, vol. 30(1), pages 81-96, March.
  15. Wang, Qiang & Zhang, Wen & Li, Jian & Ma, Zhenzhong, 2023. "Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection," Journal of Business Research, Elsevier, vol. 167(C).
  16. Patricia L. Moravec & Antino Kim & Alan R. Dennis, 2020. "Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media," Information Systems Research, INFORMS, vol. 31(3), pages 987-1006, September.
  17. Ajay Kumar & Ram D. Gopal & Ravi Shankar & Kim Hua Tan, 2022. "Fraudulent review detection model focusing on emotional expressions and explicit aspects : investigating the potential of feature engineering," Post-Print hal-03630420, HAL.
  18. Hui Zhao & Xiaoyuan Wang & Debing Ni & Kevin W. Li, 2023. "The Quality-Signaling Role of Manipulated Consumer Reviews," Group Decision and Negotiation, Springer, vol. 32(3), pages 503-536, June.
  19. Angelova, Vera & Regner, Tobias, 2016. "Can a bonus overcome moral hazard? An experiment on voluntary payments, competition, and reputation in markets for expert services," SFB 649 Discussion Papers 2016-027, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  20. Aringhieri, Roberto & Duma, Davide & Fragnelli, Vito, 2018. "Modeling the rational behavior of individuals on an e-commerce system," Operations Research Perspectives, Elsevier, vol. 5(C), pages 22-31.
  21. Sam Ransbotham & Robert G. Fichman & Ram Gopal & Alok Gupta, 2016. "Special Section Introduction—Ubiquitous IT and Digital Vulnerabilities," Information Systems Research, INFORMS, vol. 27(4), pages 834-847, December.
  22. Tim Kollmer & Andreas Eckhardt & Victoria Reibenspiess, 2022. "Explaining consumer suspicion: insights of a vignette study on online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1221-1238, September.
  23. Angelova, Vera & Regner, Tobias, 2018. "Can a bonus overcome moral hazard? Experimental evidence from markets for expert services," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 362-378.
  24. Li, Yuanshuo & Zhang, Zili & Pedersen, Susanne & Liu, Xudong & Zhang, Ziqiong, 2023. "The influence of relative popularity on negative fake reviews: A case study on restaurant reviews," Journal of Business Research, Elsevier, vol. 162(C).
  25. Chen Jin & Luyi Yang & Kartik Hosanagar, 2023. "To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders," Information Systems Research, INFORMS, vol. 34(2), pages 532-552, June.
  26. Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
  27. Cuixia Jiang & Jun Zhu & Qifa Xu, 2022. "Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression," Electronic Commerce Research, Springer, vol. 22(1), pages 157-176, March.
  28. Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019. "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers 2176, Cowles Foundation for Research in Economics, Yale University.
  29. Ku, Hsuan-Hsuan & Shang, Rong-An & Fu, Yi-Fan, 2021. "Social learning effects of complaint handling on social media: Self-construal as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
  30. Plotkina, Daria & Munzel, Andreas & Pallud, Jessie, 2020. "Illusions of truth—Experimental insights into human and algorithmic detections of fake online reviews," Journal of Business Research, Elsevier, vol. 109(C), pages 511-523.
  31. Juan Pedro Aznar-Alarcón & Oriol Anguera-Torrell, 2023. "Fake Reviews in Online Platforms and the Effort to Fight Them," Studies in Microeconomics, , vol. 11(2), pages 235-245, August.
  32. Harrison-Walker, L. Jean & Jiang, Ying, 2023. "Suspicion of online product reviews as fake: Cues and consequences," Journal of Business Research, Elsevier, vol. 160(C).
  33. Ko, Eunhee Emily & Bowman, Douglas, 2023. "Suspicious online product reviews: An empirical analysis of brand and product characteristics using Amazon data," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 898-911.
  34. Chen Jin & Luyi Yang & Kartik Hosanagar, 2019. "To Brush or Not to Brush: Product Rankings, Customer Search, and Fake Orders," Working Papers 19-02, NET Institute.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.