Tweety Holmes

Online harassment on social media platforms is a pressing matter for which users are not well equipped to handle or avoid. Twitter users can take advantage of third-party websites to get more detailed metrics about the health of another users account, or they can make reports to Twitter after experiencing abuse, but neither option easily allows them to avoid abusive users. We present Tweety Holmes, which analyzes the word usage of Twitter profiles, detects potentially abusive behavior and then warns users visually. It follows principles of algorithmic transparency by visually indicating which words or tweets flagged the profile as abusive so users can better understand the context and also alerts users when they are mentioned or messages by a potentially abusive user with the hopes that this early warning can prevent unhealthy interactions from taking place in the future.