Abstract:
Fake news detection and elimination is an emergent challenge with the growth development in social media and especially by the user-generated content UGC. Works in handli...Show MoreMetadata
Abstract:
Fake news detection and elimination is an emergent challenge with the growth development in social media and especially by the user-generated content UGC. Works in handling such content are more and more important worldwide, however, those interested in the Arabic language are still very limited when compared to the use of this language on the web. In this paper, we give the main used methods in last years to handle Arabic spam content and fake news in social media. Our findings are twice, the first is that Twitter is the most investigated platform in this area, and the second is the dominance of Arabic dialectal content by spammers. We recommend more works in handling Arabic dialects, also the orientation to other social media platforms such as Facebook, which are the most used in some Arab regions.
Published in: 2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy (AI-CSP)
Date of Conference: 20-21 November 2021
Date Added to IEEE Xplore: 11 January 2022
ISBN Information: