With the growth of technology, social media engagements have witnessed a significant surge, attracting individuals from all generations. These platforms serve as a means to connect with like-minded individuals worldwide, but they also face challenges related to trolls and hate speech. As the usage of virtual platforms increases, there is a pressing need to address the spread of hate speech in these online spaces. Incorporating traditional machine-learning classification models with quantum-inspired techniques, The model seeks to lessen the spread of hate speech to foster a more inviting and civil online community. The research validates the model’s efficacy and potential impact by analyzing real-world datasets and simulations. This study strives to curb the spread of harmful online content by contributing to containing hate speech, making virtual platforms safer and more conducive to positive user interactions.