Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research
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Prohibitions on AI use might drive shadow IT use.
“Rather than prohibitions that might drive shadow IT use, institutions should support researchers to evaluate and disclose AI contributions ethically (Ben Jabeur et al., 2023;Sadasivan et al., 2025).”
From A university framework for the responsible use of generative AI in research (2026) · cites this paper as Ben Jabeur et al., 2023
Cites
PRISMA-P Group, Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015) · Systematic Reviews · doi:10.1186/2046-4053-4-1 · Cited by 26,223 · see citing works
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064 · see citing works
Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR)
Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12695 · Cited by 2,364 · see citing works
Jindal, N., & Liu, B. (2008) · Proceedings of the international conference on Web search and web data mining - WSDM '08 · doi:10.1145/1341531.1341560 · Cited by 1,542 · see citing works
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Ott, M., Choi, Y., Cardie, C., & Hancock, J. T. (2011) · arXiv · doi:10.48550/arxiv.1107.4557 · Cited by 1,008 · see citing works
Moher, D. (2009) · Journal of Chinese Integrative Medicine · doi:10.3736/jcim20090918 · Cited by 909 · see citing works
Filieri, R., Alguezaui, S., & McLeay, F. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.05.007 · Cited by 882 · see citing works
The effectiveness of celebrity endorsements: a meta-analysis
Knoll, J., & Matthes, J. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0503-8 · Cited by 601 · see citing works
International franchising: A literature review and research agenda
Rosado-Serrano, A., Paul, J., & Dikova, D. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2017.12.049 · Cited by 401 · see citing works
Automated Crowdturfing Attacks and Defenses in Online Review Systems
Yao, Y., Viswanath, B., Cryan, J., Zheng, H., & Zhao, B. Y. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3133956.3133990 · Cited by 150 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Huang, D., Markovitch, D. G., & Stough, R. A. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103600 · Cited by 125 · see citing works
Kolade, O., Owoseni, A., & Egbetokun, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25953 · Cited by 66 · see citing works
A university framework for the responsible use of generative AI in research
Smith, S. M., Tate, M., Freeman, K., Walsh, A., Ballsun-Stanton, B., & Lane, M. (2026) · Journal of Higher Education Policy and Management · doi:10.1080/1360080x.2025.2509187 · Cited by 46 · see citing works
- Authors
- Ben Jabeur, S., Ballouk, H., Ben Arfi, W., & Sahut, J.-M.
- Affiliations
- IDRAC Business School (FR)
- Corresponding author
- Sahut, Jean-Michel
- ORCID
- Sahut, Jean-Michel
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 158
- Pages
- 113631
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4320473700
- Cited by
- 70
- References
- 10
- Citations by year
- 2026: 12 · 2025: 29 · 2024: 18 · 2023: 11
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- fake review detection, artificial intelligence, machine learning, online reviews, fake reviews, word of mouth, review quality, online reputation, review classification, research trends
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