GUI: An Interface for Hate Speech Detection using NLP Technique

On social media, hate speech is a growing issue that has a harmful impact on both individuals and society at large. Social media platform moderators require technological help in order to recognize questionable material and respond appropriately. This article develops and discusses the design principles that provide the most successful user interfaces for decision support systems that leverage Artificial Intelligence (AI) technology to assist human moderators. An experiment has been done to show the effects of AI and explain the ability on end users' perceptions of cognitive effort, formativeness, mental model, and AI trustworthiness. Assessing perceived utility, perceived utility of use, and intention to use. Finally, the tweets are given as input to the proposed GUI model and then the GUI predict that tweet as hate or speech.