Academic Journal
Safeguarding Online Communications using DistilRoBERTa for Detection of Terrorism and Offensive Chats
| العنوان: | Safeguarding Online Communications using DistilRoBERTa for Detection of Terrorism and Offensive Chats |
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| المؤلفون: | Mohamed Safwan Saalik Shah, Amr Mohamed Abuaieta, Shaima Saeed Almazrouei |
| المصدر: | Journal of Information Security and Cybercrimes Research, Vol 7, Iss 1, Pp 93-107 (2024) |
| بيانات النشر: | Naif University Publishing House, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Criminal law and procedure LCC:Cybernetics |
| مصطلحات موضوعية: | social media, offensive language, large language models, distilroberta model, Criminal law and procedure, K5000-5582, Cybernetics, Q300-390 |
| الوصف: | People use social media for both good and distasteful purposes. When used with malicious intent, it raises significant concerns as it involves the use of offensive language and hate speech that promote terrorism and other negative behaviors. To create a safe, secure and pleasant environment, these communications must be closely monitored to prevent severe problems, associated risks and other pertinent issues. With the help of AI, specifically Large Language Models (LLM), we can quickly analyze text and speech to determine whether the communications promote the dangers identified here above not to mention other toxic elements. For this research, the LLM used is the DistilRoBERTa model from the Transformers library using Hugging Face. The DistilRoBERTa model was trained on datasets consisting of terrorism-related conversations, offensive-related conversations, and neutral conversations. These datasets were obtained from publicly available sources. The results of the experimentation show that the model achieved 99% accuracy, precision, recall, F1 score, and ROC curve. To improve the robustness of the model, it must be continuously fine-tuned to predict dynamic communication behavior since real conversations are inaccessible due to restrictions. A drag-and-drop interface is used to upload the files and get the categorical output, ensuring seamless and easy interaction. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1658-7782 1658-7790 |
| Relation: | https://journals.nauss.edu.sa/index.php/JISCR/article/view/2992; https://doaj.org/toc/1658-7782; https://doaj.org/toc/1658-7790 |
| DOI: | 10.26735/VNVR2791 |
| URL الوصول: | https://doaj.org/article/81998ecdcbb94bc892edb879c4d91392 |
| رقم الانضمام: | edsdoj.81998ecdcbb94bc892edb879c4d91392 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 16587782 16587790 |
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| DOI: | 10.26735/VNVR2791 |