With EmotiveCyberSpeech, our goal was to create a platform for users to explore different expressions and words used by online personalities and the media, and that are often in use in what is perceived as hate speech. Our early intentions were to make an application that would display real-time analysis of hate speech within online forums. Key metrics being the quantity, spread, and rate of change, in discriminatory online behavior. Our aim was to provide analysis for multiple forms of discrimination such as homophobia, transphobia, sexism, racism, xenophobia, religious discrimination, ableism, ageism, and classism. But in order to implement such an application, hate speech would need to be clearly defined – a definition that has yet to be done. Therefore, to avoid imposing a definition, we assembled common word groupings and allowed the user to investigate their choice of associations and compare the usage of these themes across Twitter accounts.
The application is only available in English. The link will be made available shortly.