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What is Hybrid Approach for Fake Job Detection about?

This study presents a hybrid framework for detecting fake job postings by integrating machine learning with network analysis, addressing the limitations of traditional text-based detection methods. The proposed model constructs a job–company–location graph to extract relational features, significantly improving detection accuracy and robustness, as demonstrated by an F1-score of 0.4434 and ROC-AUC of 0.9944. The findings highlight the importance of structural features in identifying coordinated fraudulent a

Author

princeyadav2k23

Language

EN