1e416013186c20a17cb4d56 20230720013355135 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 07 30 2023 12 8 Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia Nourah Alessa https://orcid.org/0009-0006-9673-267X Maryam Alhawiti https://orcid.org/0009-0004-3721-945X Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia Sharifah Alshehri https://orcid.org/0009-0008-7812-1618 Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia. Amal Majdua https://orcid.org/0009-0003-5348-319X Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia. Nojood Aljehane https://orcid.org/0000-0001-9877-7456 Department of Computer Science, Faculty of Computers and Information Technology. Mohammed Alotaibi https://orcid.org/0000-0002-8754-3782 Department of Information Technology, Faculty of Computers & Information Technology. Diabetes is a chronic disease requiring careful management and accurate health information access. Diabetic patients are particularly vulnerable to misinformation on social media, as they may be more likely to seek alternative treatments and self-medicate. This can have severe consequences for their health and well-being. Also, the spread of misinformation on social media, including Twitter, can negatively impact the health and treatment of diabetic patients. In this research, we propose developing an intelligent system to detect and mitigate the spread of misinformation about diabetes on the Twitter platform. The system will utilize artificial intelligence and natural language processing technologies to identify and classify tweets containing false information about diabetes. The proposed system has the potential to protect diabetic patients from the negative consequences of misinformation and support the provision of accurate health information on social media. 07 30 2023 15 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) No, we did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. Maryam @ Sharifah (Introduction - Related Works - Conclusion and Future Work), Nourah @ Amal (System Overview-Related Works - Discussion) Nojood Aljehane Double review, Mohammed Alotaibi Final review 10.35940/ijitee.H9640.0712823 https://www.ijitee.org/portfolio-item/H96400712823/