Bertie Vidgen is a Research Associate within the public policy programme. His main research is focused on detecting, analysing, and countering online hate speech, examining it in the context of both news and social media. In his work, he primarily uses computational social science methods, including machine learning, natural language processing, and statistical modelling.
Before he joined the Turing, Bertie studied for a DPhil at the University of Oxford's Oxford Internet Institute, where he researched Islamophobic hate speech among followers of UK political parties on Twitter. He is particularly interested in understanding how Islamophobia manifests across the political spectrum (including both mainstream and far right parties) as well as its temporal dynamics. He is actively interested in the use of computational methods in social science, the ethical challenges of using social media data, and the role of social media within politics. He holds a BA from the University of Warwick in History and Politics and an MA from the University of Essex in Ideology and Discourse Analysis. Bertie's other work includes consulting, advising, and teaching.
Blog post, 'Four ways social media platforms could stop the spread of hateful content in aftermath of terror attacks'