Detecting Arabic textual threats in social media using artificial intelligence: An overview
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Detecting Arabic textual threats in social media using artificial intelligence: An overview |
| 2. | Creator | Author's name, affiliation, country | Hossam Elzayady; Military Technical College; Egypt |
| 2. | Creator | Author's name, affiliation, country | Mohamed S. Mohamed; Military Technical College; Egypt |
| 2. | Creator | Author's name, affiliation, country | Khaled M. Badran; Military Technical College; Egypt |
| 2. | Creator | Author's name, affiliation, country | Gouda I. Salama; Military Technical College; Egypt |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Artificial intelligence; Deep learning; Machine learning; Natural language processing; Offensive language |
| 4. | Description | Abstract | Recent studies show that social media has become an integral part of everyone's daily routine. People often use it to convey their ideas, opinions, and critiques. Consequently, the increasing use of social media has motivated malicious users to misuse online social media anonymity. Thus, these users can exploit this advantage and engage in socially unacceptable behavior. The use of inappropriate language on social media is one of the greatest societal dangers that exist today. Therefore, there is a need to monitor and evaluate social media postings using automated methods and techniques. The majority of studies that deal with offensive language classification in texts have used English datasets. However, the enhancement of offensive language detection in Arabic has gotten less consideration. The Arabic language has different rules and structures. This article provides a thorough review of research studies that have made use of artificial intelligence (AI) for the identification of Arabic offensive language in various contexts. |
| 5. | Publisher | Organizing agency, location | Institute of Advanced Engineering and Science |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2022-03-01 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27060 |
| 10. | Identifier | Digital Object Identifier (DOI) | http://doi.org/10.11591/ijeecs.v25.i3.pp1712-1722 |
| 11. | Source | Title; vol., no. (year) | Indonesian Journal of Electrical Engineering and Computer Science; Vol 25, No 3: March 2022 |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2022 Institute of Advanced Engineering and Science This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |