A model to detect fake profile on Instagram using rule-based approach
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The proposed model's accuracy (98%) is higher than that of six prior models (93%, 94%, 93%, 96%, 83%, 94%).
“| S. D. Munoz et al62 | 93% |”
From Instagram fake profile detection using an ensemble learning method (2025) · cites this paper as G. Sonowal et al.63
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Instagram fake profile detection using an ensemble learning method
Goyal, B., Gill, N. S., Gulia, P., Alduaiji, N., Shukla, P. K., & J, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-03973-x · Cited by 10 · see citing works
- Authors
- Sonowal, G., Balaji, V., & Kumar, N.
- Affiliations
- Assam Down Town University (IN)
- GITAM University (IN)
- University of Nizwa (OM)
- Corresponding author
- Sonowal, Gunikhan
- ORCID
- Sonowal, Gunikhan
- Venue
- CSI Transactions on ICT
- Published
- 2024-10-01
- Volume
- 12
- Issue
- 4
- Pages
- 95-105
- ISSN
- 2277-9078 (ISSN-L)
- 2277-9086
- OpenAlex
- W4403041299
- Cited by
- 9
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- CSI Transactions on ICT (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Keywords
- fake profile detection, Instagram, social media accounts, rule-based classification, if-then rules, artificial neural networks, machine learning comparison, cyberbullying, fraud, fake information
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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