In this independent research project, Jeffrey Shen and I used machine learning and statistics to better understand the Russian disinformation campaign in the 2016 election. We released three blog posts, launched a Twitter bot, an open API, and deployed an interactive machine learning model.

• Published paper for open access on SSRN, made daily top-tens in several sections.
• Completed as part of Digital Propaganda & Censorship, an Independent Project at Phillips Academy under the mentorship of John Palfrey, Michael Barker, and Malgorzata Stergios.