BookmarkSubscribeRSS Feed

Detecting Online Recruitment Fraud

Started ‎04-16-2021 by
Modified ‎05-12-2021 by
Views 461
Paper 1194-2021
 Matthew Fruge, Noah Heinrich, Oklahoma State University


With the advent of the global pandemic caused by the Coronavirus disease, the job market is in flux, with many people currently unemployed. These individuals are seeking employment via job posting websites such as Indeed. Online job posting websites are vulnerable to fraudulent job posts created by scammers in order to socially engineer job seekers out of private or sensitive information. This session examines job postings and attempts to automatically determine if the job posting is genuine (nonfraudulent) or fraudulent. Predictive models were used on job postings in the United States, labeling each as fraudulent or nonfraudulent based on variables provided in the data set. By using a text topic node combined with a decision tree model in SAS(r) Enterprise Miner(tm), the team achieved over a 96% accuracy rate at distinguishing whether a job posting is fraudulent or legitimate. This method could be used by sites like Indeed and Monster to flag job postings, warning the job seeker to proceed with caution until further search quality control teams can assess the posting and take it down.


See attached for all the details.

Watch the presentation

Watch Detecting Online Recruitment Fraud as presented by the authors on the SAS Users YouTube channel.



Version history
Last update:
‎05-12-2021 10:49 AM
Updated by:



Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.

If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website. 

Register now!

Get the $99 certification deal.jpg



Back in the Classroom!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Article Tags