Abstract

The use of social media as a technological tool revolutionize mode of communication and exchange of information in our current society, the ability to send information across thousands of miles in a speed of light has helped business in generating more revenue and also allow internet users to stay in contact with friends and family through various social media platform. Social media has proven to be beneficial to humans by presenting a means of creating events, posting of videos and staying connected with loved ones while also negatively impacting the mental well-being of young individuals who are subject of cyberbully on Social media platforms. This paper focuses on examining and outlining how machines can be trained to recognize cyberbully from visual textual information in social media platforms.