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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Spotting fake news in Arabic with Machine and Deep Learning Techniques |
| Authors Name: | Maysoon , Abdelouahab Hocini , Kamel Smaili |
| Unique Id: | IJSDR2302106 |
| Published In: | Volume 8 Issue 2, February-2023 |
| Abstract: | The rapid spread of rumors due to the growth of the internet and social media has prompted researchers to search for solutions to detect fake news, which is treated as a text classification problem. In this study, we examine the content of fake news in the Arabic-speaking world through YouTube comments. To start, we have updated our Arabic corpus for fake news analysis, incorporating the most frequently discussed topics in rumors. Next, we conducted experiments to determine the best combination of preprocessing, classical machine learning, and neural networks in classifying comments as either rumors or non-rumors. The models we used include Support Vector Machine (SVM), Decision Tree (DT), and Multinomial Naïve Bayes (MNB) for machine learning, and LSTM, BILSTM, and CNN for deep learning. Finally, we compare the results of previous machine learning models and deep learning techniques to determine which one is more effective in detecting fake news. Both models showed high accuracy in the results. |
| Keywords: | Rumors, Classifiers, Arabic Fake news corpus, Machine learning, Deep learning. |
| Cite Article: | "Spotting fake news in Arabic with Machine and Deep Learning Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.605 - 611, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302106.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR2302106 Registration ID:204049 Published In: Volume 8 Issue 2, February-2023 DOI (Digital Object Identifier): Page No: 605 - 611 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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