Status: In progress

Recently the social media has become an essential part of our daily life activities, people can post and share their opinion on current world’s event. Although of its many useful uses, the hate speech is a common problem in social media. It means that using hate words against group or individuals based on people race, gender or religion with intention of bringing harm and raise violence toward them. It’s important that social media should provide a tool to detect hate speech since it has a huge impact on its targets. Detecting hate speech in English has been widely studied and presented by a large number of researchers, however the topic of hate speech detection in Arabic language has attracted little attention. This due the limited resources and NLP (Natural Language Processing) tools in Arabic, thus has drove our interest in proposing a tool for hate speech detection in Arabic social media. In this project, we use different machine learning and evolutionary algorithms to build efficient detectors/ models for hate speech contents.

Funded By:Deanship of Academic Research, The University of Jordan Budget:16,500 JD (23,000 $)
Duration:2019 – 2021 (2 Years)
Lead Investigator: Ibrahim Aljarah
Principal Investigators: Hossam Faris, Bassam Hammo, Mohammed Abusharia