With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …

Nowadays, people are communicating through social networks everywhere. However, for
whatever reason it is noticeable that verbal misbehaviors, such as hate speech is now …

Social media have become a very viable medium for communication, collaboration,
exchange of information, knowledge, and ideas. However, due to anonymity preservation …

With the exponential increase of social media users, cyberbullying has been emerged as a
form of bullying through electronic messages. Social networks provides a rich environment …

In this paper, we investigate the ability of CNN, CNN-LSTM, and BiLSTM-CNN deep
learning networks to automatically classify or discover hateful content posted on social …

It is an age of the Internet and electronic media, and social media platforms are one of the
most frequently used communication medium nowadays. But some people use these sites …

Offensive language and hate-speech are phenomena that spread with the rising popularity
of social media. Detecting such content is crucial for understanding and predicting conflicts …