About me

I am currently a Ph.D. student in Digital Humanities at the School of Advanced Study, University of London. I hold a BA in Journalism and a MA in Communication, both from the Universidade Federal de Pernambuco, Brazil. I work as an early-stage researcher at the University of London for the EU-funded Horizon 2020 project CLEOPATRA, under the Marie Skłodowska-Curie Innovative Training Network.

I have worked as visiting researcher at the UK Web Archive/British Library and VICO Research & Consulting. I was also a fellow researcher at CAIS - Center for Advanced Internet Studies in Bochum, Germany. I currently collaborate with Programming Historian as reviewer and translator.

My research

My current research is part of the CLEOPATRA project, which aims to explore major events that influence and shape our lives and our societies through advanced cross-lingual processing of textual and visual information.

My project Nationalism, internationalism and sporting identity: the London and Rio Olympics explores the media coverage of the Olympic Games in a cross-cultural, cross-lingual and temporal perspective. I’m especially interested in comparing how the concept of ‘Olympic legacy’ has been approached by the Brazilian and British media considering different locations, languages and social-political contexts. This research is conducted under the supervision of Professor Jane Winters and Martin Steer.

My main research interests lie in the fields of digital methods, Natural Language Processing techniques (NLP), data visualisation, media studies, urban studies and digital activism.

Publications

Latest publications:

To see my publication record please check out my ORCID profile.

Other publications and blog posts

Workshop/Teaching

Concepts of Digital Humanities Workshop School of Advanced Study, University of London (2022) - with Dr. Christopher Ohge.

Code & Data

  • Dataset: Sentiment Analysis annotation of News Articles covering the Olympic legacy of Rio 2016 and London 2012.
  • Tool: TIME: Temporal Discourse Analysis applied to Media Articles.
  • Dataset: News headlines of BBC articles published by @BBCBreaking twitter account