Cited by 9Spam and Phishing DetectionMisinformation and Its ImpactsAuthorship Attribution and Profiling

A model to detect fake profile on Instagram using rule-based approach

Sonowal, Gunikhan, Balaji, V., Kumar, Naresh·2024·CSI Transactions on ICT

Integrity signals

Registry

Crossref · 10.1007/s40012-024-00400-w

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cited by

Sorted by citations

Authors
Sonowal, G., Balaji, V., & Kumar, N.
Affiliations
  • Assam Down Town University (IN)
  • GITAM University (IN)
  • University of Nizwa (OM)
Corresponding author
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
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.

What counts as a claim ›How we measure confidence ›How we check this ›

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