Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

In recent years online social networks have suffered an increase in sexism, racism, and
other types of aggressive and cyberbullying behavior, often manifesting itself through …

TikTok is a video-sharing social networking service, whose popularity is increasing rapidly. It
was the world's second-most downloaded app in 2019. Although the platform is known for …

Background The COVID-19 pandemic brought unforeseen challenges that could forever
change the way societies prioritize and deal with public health issues. The approaches to …

While social media offer great communication opportunities, they also increase the
vulnerability of young people to threatening situations online. Recent studies report that …

The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …

Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

We argue that existing security, privacy, and antiabuse protections fail to address the
growing threat of online hate and harassment. In order for our community to understand and …

Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …