EXPLORING THE RELATIONSHIP BETWEEN SOCIAL CONTEXT OF SPEECH IN RACE, GENDER AND AUTONOMIC DETECTION OF HATE SPEECH ON SOCIAL MEDIA

This review studies the development on the work done on the effects of social context factors of race and gender on the automated detection of hate speech found in social media from the period of 2013 to 2023. The review initially discussed the variables of social media and social context of speech and then discussed the literature produced on the effects of race and gender on social media, hate speech and social media research, the work done on automated detection of online hate speech and then the effect of race and gender in hate speech detection. The review found that race and gender have a positive impact on hate speech detection but also showcased that there is a significant lack of literature produced on the subject, the current detection methods ae unable to take into account the influence of the two factors. There is a need to conduct more research on the subject among different populations and methods to incorporate race and gender factors into automated detection system must be developed in the future.