Julio holds a PhD in economics from the University of Essex. His area of expertise is applied machine learning (ML). Julio has held different research positions, both in the UK and abroad, and is now a research associate at Imperial Business Analytics, a laboratory held together by Imperial College’s Data Science Institute and Business School. His research includes big-data studies of online political participation and applying ML to categorize public opinion and automatically identifying fake news. Julio is currently dedicated to the study of misinformation.
Amador J, Oehmichen A, Molina-Solana M, Characterizing Political Fake News in Twitter by its Meta-Data
et al., From Neuroscience to Computer Science: A Topical Approach on Twitter, Journal of Computational Social Science, ISSN:2432-2717
et al., 2017, Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data, Statistics, Politics and Policy, Vol:0, ISSN:2194-6299
López JCAD, Piña-García CA, 2017, Political participation in Mexico through twitter, Studies in Computational Intelligence, Vol:693, ISSN:1860-949X, Pages:607-618