An Intelligent System to Protect Diabetic Patients from Misinformation on Twitter
Creators
- 1. Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
- 2. Department of Computer Science, Faculty of Computers and Information Technology.
- 3. Department of Information Technology, Faculty of Computers & Information Technology.
Contributors
Contact person:
- 1. Department of Information Technology, Faculty of Computers & Information Technology..
Description
Abstract: 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.
Notes
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Additional details
Related works
- Is cited by
- Journal article: 2278-3075 (ISSN)
References
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Subjects
- ISSN: 2278-3075 (Online)
- https://portal.issn.org/resource/ISSN/2278-3075#
- Retrieval Number: 100.1/ijitee.H96400712823
- https://www.ijitee.org/portfolio-item/H96400712823/
- Journal Website: www.ijitee.org
- https://www.ijitee.org/
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org/