Fake Job Prediction using Deep Learning

Job hunting just got easier with hiring sites. These sites now have lots of fake listings. Scammers trick people by asking for money hiding behind names or advertising jobs that do not exist. A new method uses computer tools to tell job ads from fake ones. It starts with a collection of fake job postings that are labeled. The next steps are to clean and standardize the text. Then words are turned into codes using a technique called embeddings. Different computer networks are tested. Like LSTM, Bi-LSTM and transformers. To see which one is best at spotting messages. The results show that newer computer systems work better than ones at detecting fake job ads. This means that smart systems can help make online job platforms safer and more trustworthy for people looking for jobs. The online recruitment platforms can greatly improve safety and trust, with these fraud-detection systems.