Abstract:
The role of social media is in our daily lives is immense. It has many positive sides as
well as negative sides especially in the society and human behaviors. Some people are
trying to use the social medias for tarnishing the routine setup of the society. Some
people use these websites for anti-social behaviors including cyber stalking, cyber
bullying, trolling, harassments and hate speech. At present, social media websites have
started creating serious efforts to control racist hate speech. But, most of them are still
facing challenges to come up with an efficient solution. The aim of this research is to
explore and measure the racism hate speeches in Twitter. Predictive research method
of quantitative studies was applied to carry out this research. Since it is a technological
based research, Tweet Binder analytical tool was used to analyze the data. For this
research work, the researcher use the dataset for racist hate speech distributed via data
world which consists 517 racist hate speeches. Simple random sampling method was
used to test the data. As a results, it found that all formats of tweets including text,
replies, retweet, pictures and links have most number of racist hate speeches. Especially
replies and retweets have highest number of hate speeches. It is highly recommended
to Twitter and other social media websites to implement strict policies and mechanisms
to control hate speeches to control them to create a peaceful social media environment.
