Funded between 2016 and 2019, this project investigated the utility of Twitter data for understanding what types, for whom, and where online hate speech acts a ‘signature’ of offline hate crime. The study developed a statistical model that linked anonymous aggregate online hate speech and offline hate crimes, using tweets and reported hate crimes in Los Angeles County and London as test cases.