Many studies have focused on building a detection algorithm for hate speech, but no one has developed a similar algorithm for inclusion and belonging. The gap matters because inclusive cyberspace is not equal to the absence of online hate speech. It means people exchange ideas online in an inclusive manner. This project aims to fill this gap by developing a replicable and scalable research methodology that helps identify and examine incidents of inclusive online speech.

Spring 2020
Social Sciences