Toward Safer Digital Communication: A Deep Hybrid Model for Detecting Abusive Language on Social Networks

Aliyeva A. Kenjayeva B. Kizdarbekova M. Kaldarova B. Mamikov S. Omarov B. Omarov N. Toktarova A. Adaly E.
6 October 2025 Dr D. Pylarinos

Engineering, Technology and Applied Science Research
2025 #15 Issue 5 27126 - 27132 pp.

The prevalence of abusive language and cyberbullying on social media platforms presents a growing challenge to the user safety and digital well-being, necessitating the development of effective automated content moderation systems. This study proposes a hybrid deep learning model that combines Long Short Term Memory (LSTM) networks with Convolutional Neural Networks (CNNs) to classify the abusive text with enhanced accuracy and contextual awareness. The LSTM component captures long-range dependencies and semantic context, while the CNN module extracts discriminative local n-gram features. The model was trained and evaluated on three benchmark datasets: HatebaseTwitter, HatEval, and TRAC. The experimental results demonstrated that the proposed architecture outperforms traditional classifiers, such as SVM, Random Forest, and Logistic Regression, as well as standalone CNN and LSTM models, achieving superior performance across all standard evaluation metrics. Notably, the model attained AUC scores of up to 0.97, indicating robust discriminatory power. These findings underscore the effectiveness of the hybrid LSTM–CNN model for abusive language detection and highlight its potential for deployment in real-time content moderation tools aimed at fostering safer online communication environments.

abusive language detection , cyberbullying classification , deep learning , LSTM-CNN hybrid model , natural language processing , sentiment analysis , social media analysis , text classification

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Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
International University of Tourism and Hospitality, Turkistan, Kazakhstan
Zhanibekov University, Shymkent, Kazakhstan
University of Friendship of People’s Academician A. Kuatbekov, Shymkent, Kazakhstan
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Istanbul Technical University, Istanbul, Turkey

Khoja Akhmet Yassawi International Kazakh-Turkish University
International University of Tourism and Hospitality
Zhanibekov University
University of Friendship of People’s Academician A. Kuatbekov
Al-Farabi Kazakh National University
Istanbul Technical University

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