Year: 2024
Type: article
Study design: Systematic Review
Abstract: In contemporary times, the utilisation of social networks entails inherent risks, particularly on platforms such as Instagram, Twitter, and TikTok, which facilitate anonymous usage and the creation of fictitious profiles. The cloak of anonymity has fostered an ideal environment for cyberbullying, a form of harassment that unfolds in the virtual realm accessed by children and youth through information and communication technologies like the Internet and cell phones. Cyberbullying is pervasive across numerous countries globally. Consequently, a multitude of studies have delved into diverse solutions aimed at preventing cyberbullying, including various approaches and techniques for identifying and detecting it through the analysis of text language. This systematic review seeks to encompass these scientific studies that primarily focus on the classification of cyberbullying based on the language employed in online communication.
Source: ASM Science Journal
Author: Zineb Lamghari
Institutions: Mohammed V University, Sidi Mohamed Ben Abdellah University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405382003