Social media platforms store a vast amount of user-generated data, which poses potential threats to individuals and communities in the absence of proper control and moderation mechanisms. To address this issue, this paper proposes a hybrid feature selection technique that integrates textual and visual content to improve the accuracy and robustness of social media post classification. The research aims to contribute in three main areas: