The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …

Several research on cyberbullying detection have employed different deep learning and
machine learning methodologies to achieve promising outcomes. Nevertheless, most of …

The impact of communication through social media is currently considered a significant
social issue. This issue can lead to inappropriate behavior using social media, which is …

Cyberbullying is a form of harassment or bullying that takes place online or through digital
devices like smartphones, computers, or tablets. It can occur through various channels, such …

Peer review is the quality assessment of a manuscript by one or more peer experts. Papers
are submitted by the authors to scientific venues, and these papers must be reviewed by …

The proliferation of cyberbullying on social media platforms has led to devastating physical,
emotional, and mental consequences for victims, underscoring the need for effective …

Cyberbullying poses a digital threat to society. In this survey, we explain what cyberbullying
is and its various forms. We focus on social media platforms and instant messaging apps …

The phenomenon of cyberviolence has become a critical issue in online security, drawing
attention from various stakeholders. A major shortcoming in the previous works is the …

This study investigates the effectiveness of various deep learning and classical machine
learning techniques in identifying instances of cyberbullying. The study compares the …

The increased use of social media and the internet is leading to an increase in cyberbully
vulnerabilities as well as daily usage. Cyberbullying is a deliberate, aggressive behavior …