Girish Arun Koushik
Academic and research departments
Nature Inspired Computing and Engineering Research Group, Computer Science Research Centre, School of Computer Science and Electronic Engineering.About
My research project
A Digitally Resilient Framework for Hate Speech DetectionHateful comments and posts on social media platforms have become an important issue in recent times. Such hate speech can be directed against people based on their race, ethnicity, religion, sex, sexual orientation, disability or even their political stance. Hate speech can occur in various languages through text, audio, and visual modalities, making its automatic detection challenging for artificial intelligence (AI) algorithms. This project investigates the detection of hate speech in combined multimodal and multilingual settings. This will be achieved by developing state-of-the-art AI algorithms which combine textual, auditory, and visual modalities. These algorithms will lead to a resilient framework providing a holistic approach to analysing hate speech in various forms and languages. The resulting framework shall be open-sourced to allow further academic research and deployment by social media platforms.
Supervisors
Hateful comments and posts on social media platforms have become an important issue in recent times. Such hate speech can be directed against people based on their race, ethnicity, religion, sex, sexual orientation, disability or even their political stance. Hate speech can occur in various languages through text, audio, and visual modalities, making its automatic detection challenging for artificial intelligence (AI) algorithms. This project investigates the detection of hate speech in combined multimodal and multilingual settings. This will be achieved by developing state-of-the-art AI algorithms which combine textual, auditory, and visual modalities. These algorithms will lead to a resilient framework providing a holistic approach to analysing hate speech in various forms and languages. The resulting framework shall be open-sourced to allow further academic research and deployment by social media platforms.