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@article{207265,
        author = {Sayeda Mahak and Aditya Saxena and Geetanjali Rautela and Ritik Saxena},
        title = {The Impact of Technology on Mental Health: Cyberbullying, Generative AI, And Sentiment Analysis Emotion-Aware Cyberbullying Detection and Intervention Using Transformer Models},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {169-176},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207265},
        abstract = {The rapid growth of digital communication has significantly increased instances of cyberbullying, adversely affecting users’ mental well-being through anxiety, depression, and social withdrawal. Existing systems largely rely on reactive moderation techniques, often failing to detect early signs of distress. This research proposes a proactive framework leveraging transformer-based models, such as BERT and GPT, implemented via the Hugging Face library, for real-time cyberbullying detection. The proposed system utilizes advanced Natural Language Processing techniques and sentiment analysis to capture contextual meaning and emotional nuances in text, enabling the identification of subtle indicators of harmful interactions. In addition, a sentiment-aware chatbot is integrated to provide adaptive and empathetic responses, suggest coping strategies, and offer immediate support during emotionally critical situations. The system also incorporates an alert mechanism to notify human moderators when high-risk scenarios are detected. The methodology includes data preprocessing, model fine-tuning, and performance evaluation using standard classification metrics. Key challenges such as sarcasm detection, bias mitigation, and data privacy are also addressed. The proposed approach aims to shift cyberbullying management from reactive filtering to proactive intervention, enhancing digital well-being through intelligent and timely support systems.},
        keywords = {Cyberbullying, Mental Health, Natural Language Processing (NLP), Sentiment Analysis, Transformer Models, Hugging Face, Chatbots, Deep Learning, Text Classification, Digital Well-being.},
        month = {July},
        }