Effects of review spam in a firm-initiated virtual brand community: Evidence from smartphone customers
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In a virtual brand community, the emergence of false but highly realistic deepfake-based reviews (particularly negative reviews) can affect interactions of individuals with other VBC members as they begin to lose trust in the group, weakening their interest in interacting with other members.
“For instance, in a virtual brand community (VBC), the emergence of false but highly realistic deepfake-based reviews (particularly negative reviews) can affect the interactions of individuals with other VBC members as they begin to lose trust in the group, weakening their interest in interacting with other members (Feng et al., 2018).”
From Deepfakes: Deceptions, mitigations, and opportunities (2023) · cites this paper as Feng et al., 2018
Cites
The impact of electronic word-of-mouth communication: A literature analysis and integrative model
Cheung, C. M. K., & Thadani, D. R. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.06.008 · Cited by 2,005 · 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
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Deepfakes: Deceptions, mitigations, and opportunities
Mustak, M., Salminen, J., Mäntymäki, M., Rahman, A., & Dwivedi, Y. K. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113368 · Cited by 209 · see citing works
- Authors
- Feng, N., Su, Z., Li, D., Zheng, C., & Li, M.
- Affiliations
- Tianjin University (CN)
- Tianjin University of Technology (CN)
- Corresponding author
- Li, Dahui
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 55
- Issue
- 8
- Pages
- 1061-1070
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2803208522
- Cited by
- 22
- References
- 2
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 2 · 2020: 3 · 2019: 2
- FWCI
- 3.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- Funders
- National Natural Science Foundation of China (71271149, 71631003, 91646117)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Communication › Knowledge Management and Sharing
- Keywords
- review spam, online brand communities, customer participation, sense of virtual community, community membership, community impact, immersion, smartphone users, online reviews
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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