Imperial College London

DrJulioAmador Diaz Lopez

Business School

Casual - Academic Research







Business School BuildingSouth Kensington Campus





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.

Selected Publications

Journal Articles

Oehmichen A, Hua K, Diaz Lopez JA, et al., 2019, Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 US Presidential Election, Ieee Access, Vol:7, ISSN:2169-3536, Pages:126305-126314

Amador Diaz Lopez JC, Collignon-Delmar S, Benoit K, et al., 2017, Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data, Statistics, Politics and Policy, Vol:8, ISSN:2151-7509

More Publications