This study explores advanced natural language processing (NLP) methods to identify Twitter users engaging in sarcasm, irony, and the propagation of negative stereotypes. This study highlights effective approaches for analyzing user behaviour and discourse patterns on social media platforms by employing cutting-edge NLP techniques. The findings revealed that integrating educational programs with NLP-driven algorithmic solutions can foster greater responsibility and reduce harmful online communication practices. Additionally, this study outlines practical methods for monitoring and evaluating social media interactions to enhance the accuracy of stereotype detection. These insights provide clear directions for further advancements in NLP-based social network analysis and responsible digital communications.