The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …

The use of offensive language in user-generated content is a serious problem that needs to
be addressed with the latest technology. The field of Natural Language Processing (NLP) …

With the increasing amount of digital data generated by Arabic speakers, the need for
effective and efficient document classification techniques is more important than ever. In …

This article is a utilization research that really needs literacy and reading materials in
describing a discussion, which is through knowledge of the background of an incident, and …

Meet the “JewToks.” A squad of Jewish-American TikTokers who have decided to dedicate
their accounts to combatting antisemitism online and creating a different kind of digital …

As a key player in today's world, online social networks are emerging, providing a platform
for expression and content distribution. This technology enables users to communicate …

With the vast number of comments posted daily on social media and other platforms,
manually monitoring internet activity for possible national security risks or cyberbullying is an …

Growing evidence suggests that YouTube's recommendation algorithm plays a role in online
radicalization via surfacing extreme content. Radical Islamist groups, in particular, have …

Social media platforms have become the primary means of communication and information
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …

Abstract Nowadays, people use Online Social Networks to express feelings and ideas and
to communicate and share information. With the freedom space provided by such networks …