Fake Job Prediction Using Machine Learning

Fake job listing detection is an interesting topic for computer scientists and social science. The recentgrowth of the online social fake job postings has great impact to the society. There is huge information fromdisparate sources among various users around the world. Developing a technique that can detect fake job postingsfrom these platforms is becoming a necessary

Publication Details

Journal
Journal of Computational Analysis and Applications
Published
2025-04-20
DOI
https://doi.org/10.48047/jocaaa.2024.33.06.34
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Fake Job Prediction Using Machine Learning

Journal of Computational Analysis and Applications
Spam and Phishing Detection
article

Fake Job Prediction Using Machine Learning

article en

Abstract

Fake job listing detection is an interesting topic for computer scientists and social science. The recentgrowth of the online social fake job postings has great impact to the society. There is huge information fromdisparate sources among various users around the world. Developing a technique that can detect fake job postingsfrom these platforms is becoming a necessary

Journal of Computational Analysis and ApplicationsVol. 33(6)
Decent work and economic growth
Openalex Percentile: Top 86%
Spam and Phishing Detection
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Fake Job Prediction Using Machine Learning · Journal of Computational Analysis and Applications (2025) | TGRS Research Map | TGRS