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Creating and detecting fake reviews of online products

Citations

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Cited by:

  1. Wen Zhang & Qiang Wang & Jian Li & Zhenzhong Ma & Gokul Bhandari & Rui Peng, 2023. "What makes deceptive online reviews? A linguistic analysis perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
  2. Shawn Berry, 2024. "Fake Google restaurant reviews and the implications for consumers and restaurants," Papers 2401.11345, arXiv.org, revised Apr 2024.
  3. 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.
  4. Das, Ronnie & Ahmed, Wasim & Sharma, Kshitij & Hardey, Mariann & Dwivedi, Yogesh K. & Zhang, Ziqi & Apostolidis, Chrysostomos & Filieri, Raffaele, 2024. "Towards the development of an explainable e-commerce fake review index: An attribute analytics approach," European Journal of Operational Research, Elsevier, vol. 317(2), pages 382-400.
  5. Ben Jabeur, Sami & Ballouk, Hossein & Ben Arfi, Wissal & Sahut, Jean-Michel, 2023. "Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research," Journal of Business Research, Elsevier, vol. 158(C).
  6. Kim, Jong Min & Park, Keeyeon Ki-cheon & Mariani, Marcello & Wamba, Samuel Fosso, 2024. "Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  7. Mustak, Mekhail & Hallikainen, Heli & Laukkanen, Tommi & Plé, Loïc & Hollebeek, Linda D. & Aleem, Majid, 2024. "Using machine learning to develop customer insights from user-generated content," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  8. Costa Filho, Murilo & Nogueira Rafael, Diego & Salmonson Guimarães Barros, Lucia & Mesquita, Eduardo, 2023. "Mind the fake reviews! Protecting consumers from deception through persuasion knowledge acquisition," Journal of Business Research, Elsevier, vol. 156(C).
  9. Ana Marta Santos & Nuno Antonio, 2025. "Improving trust in online reviews: a machine learning approach to detecting artificial intelligence-generated reviews," Information Technology & Tourism, Springer, vol. 27(3), pages 739-766, September.
  10. Zhao, Xiangqi & Huang, Zhe, 2024. "A method for exploring consumer satisfaction factors using online reviews: A study on anti-cold drugs," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  11. Wang, Zheng & Wang, Lun & Ji, Ying & Zuo, Lulu & Qu, Shaojian, 2022. "A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  12. Simon Hemmrich & Volker Nissen & Daniel Beverugen & Josias Daniel Miño Pauls, 2025. "Blockchain-based reputation systems for business-to-business services: designing a reputation mechanism to reduce information asymmetry in professional consulting," Information Systems and e-Business Management, Springer, vol. 23(3), pages 809-844, September.
  13. Mustak, Mekhail & Salminen, Joni & Mäntymäki, Matti & Rahman, Arafat & Dwivedi, Yogesh K., 2023. "Deepfakes: Deceptions, mitigations, and opportunities," Journal of Business Research, Elsevier, vol. 154(C).
  14. Perez, Dikla & Stockheim, Inbal & Baratz, Guy, 2022. "Complimentary competition: The impact of positive competitor reviews on review credibility and consumer purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
  15. Barta, Sergio & Gurrea, Raquel & Flavián, Carlos, 2023. "Consequences of consumer regret with online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  16. Wang, Zhenfei & Pan, Younghwan, 2025. "From popularity to pitfalls: Diagnosing consumer issues and engineering solutions for an ink-inspired mobile theme system," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
  17. Whittaker, Lucas & Kietzmann, Jan & Letheren, Kate & Mulcahy, Rory & Russell-Bennett, Rebekah, 2023. "Brace yourself! Why managers should adopt a synthetic media incident response playbook in an age of falsity and synthetic media," Business Horizons, Elsevier, vol. 66(2), pages 277-290.
  18. Zou, Zichen & Liu, Mingwu & Gong, Yu & Dong, Xinwei & Duan, Jiang, 2025. "Examining the effects of blockchain technology on sales models: A study from the dual perspectives of economy and environment," International Journal of Production Economics, Elsevier, vol. 281(C).
  19. Urban, Wieslaw & Buraczyńska, Barbara, 2025. "E-commerce enterprise flexibility leading to better customer perception," Journal of Retailing and Consumer Services, Elsevier, vol. 85(C).
  20. Jesper Akesson & Robert Hahn & Robert Metcalfe & Manuel Monti-Nussbaum, 2025. "The Impact of Fake Reviews on Demand and Welfare," Framed Field Experiments 00821, The Field Experiments Website.
  21. Pedro Campos & Eva Pinto & Ana Torres, 2025. "Rating and perceived helpfulness in a bipartite network of online product reviews," Electronic Commerce Research, Springer, vol. 25(3), pages 1607-1639, June.
  22. Zaman, Mustafeed & Vo-Thanh, Tan & Nguyen, Chi T.K. & Hasan, Rajibul & Akter, Shahriar & Mariani, Marcello & Hikkerova, Lubica, 2023. "Motives for posting fake reviews: Evidence from a cross-cultural comparison," Journal of Business Research, Elsevier, vol. 154(C).
  23. Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "Fake review detection in e-Commerce platforms using aspect-based sentiment analysis," Journal of Business Research, Elsevier, vol. 167(C).
  24. Zhao, Yuexin & Tang, Siyi & Zhang, Hongyu & Lyu, Long, 2025. "AI vs. human: A large-scale analysis of AI-generated fake reviews, human-generated fake reviews and authentic reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  25. Perez-Castro, A. & Martínez-Torres, M.R. & Toral, S.L., 2023. "Efficiency of automatic text generators for online review content generation," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  26. Weiyao Meng & John Harvey & James Goulding & Chris James Carter & Evgeniya Lukinova & Andrew Smith & Paul Frobisher & Mina Forrest & Georgiana Nica-Avram, 2025. "Large Language Models as 'Hidden Persuaders': Fake Product Reviews are Indistinguishable to Humans and Machines," Papers 2506.13313, arXiv.org.
  27. Birim, Şule Öztürk & Kazancoglu, Ipek & Kumar Mangla, Sachin & Kahraman, Aysun & Kumar, Satish & Kazancoglu, Yigit, 2022. "Detecting fake reviews through topic modelling," Journal of Business Research, Elsevier, vol. 149(C), pages 884-900.
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