Reveal: Online Fake Job Advert Detection Application using Machine Learning
C Prashanth, Deepanjali Chandrasekaran, Bhuvanashree Pandian, Kavitha Duraipandian, Tom Chen, Mithileysh Sathiyanarayanan · 2022 IEEE Delhi Section Conference (DELCON) · 2022
New technologies are rapidly emerging to fight increasing Job scams. Online Job scams are onerous to detect, thus giving the perpetrators plenty of time to flee the area in which the crime was committed, because of this fact the criminals can be in another country far away from the scene of the crime by the time it is detected. In today's digital world, we see many such instances where a particular person is targeted. The introduction of the internet and the quick access of social networking sites (including Twitter and Instagram) prepared the door for unprecedented levels of knowledge distribution in human history. Humans can be vulnerable and easily deceived making technological advances inadequate for Online Job scams. Fake recruitments are advertised to entice people to apply, so fraudsters can gain personal information such as residential address, email address, contact number, date of birth, previous job history, bank details and steal complete identify. In this paper, we developed Reveal, a machine learning-based web application, to identify fake online job advertisements such that the applicants are cautious in applying for jobs that are authentic and reliable.