Significant issues arise from the spread of hate speech. To solve these problems, this study suggests a transformer-driven method for identifying bogus data. Our experimental results reveal that our approach is resilient in detecting bogus data, especially when it comes to hate speech, with an accuracy of up to 97.76%.