I am currently a Ph.D. student in Digital Humanities at the School of Advanced Study, University of London. I also hold the post of editor of the Programming Historian in English, with which I have previously collaborated as reviewer and translator.
I hold a BA in Journalism and a MA in Communication, both from the Universidade Federal de Pernambuco, Brazil. I worked over the last four years at the School of Advanced Study, University of London, as an early-stage researcher, where I joined the EU-funded Horizon 2020 project CLEOPATRA, under the Marie Skłodowska-Curie Innovative Training Network. I’ve also been a research fellow at the Center for Advanced Internet Studies (CAIS) in Bochum, Germany. During my PhD, I have worked as visiting researcher at the UK Web Archive/British Library and VICO Research & Consulting.
Alongside my main activities as a researcher, I sporadically write news stories. My main interests as a journalist are history and arts. When not reading, writing or coding, I’m usually playing music or looking for a nice pool in the area to jump in.
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.
Nationalism, internationalism and sporting identity: the London and Rio Olympics
My research 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. The study 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.
Interpreting sentiment analysis outputs to categorise emotions in news articles
Sentiment analysis (SA) is one of the techniques commonly used in Natural Language Processing. Although it has been mostly applied to twitter data or customer feedback to track reception of products, researchers in the humanities have been using the algorithms to explore other kinds of text, such as news articles to understand the tone in which some media events are narrated. This kind of use of the SA present several challenges. Questions arise on to what extent the SA scores are reliable or how they can be used for interpretation (qualitative analysis) and discourse analysis. This project aims to investigate how these techniques have been applied to the study of media events, identifying its limitations and potentialities, making use of explainable AI and qualitative analysis of SA outputs in a multilingual text corpus.
- Data Scarcity and Methodological Limitations in Multilingual Analysis of News Articles Published in Brazil, In Multilingual Digital Humanities, Routledge (2023)
- Combining sentiment analysis classifiers to explore multilingual news articles covering London 2012 and Rio 2016 Olympics, International Journal of Digital Humanities (2022)
- Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination, IEEE Access (2022)
To see my publication record please check out my ORCID profile.
For blogposts and research reports click here
- Concepts of Digital Humanities Workshop School of Advanced Study, University of London (2021 - 2023) - with Dr. Christopher Ohge.
- Introduction to Sentiment Analysis: Potentials and limitations Center for Advanced Internet Studies (July 2023)
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
Upcoming Talks & Events
- 08.11.2023 Concepts of Digital Humanities Workshop Book now
- 10.07.2023 Workshop: Introduction to Sentiment Analysis, Center for Advanced Internet Studies
- 24.05.2023 Interpreting the results of Sentiment Analysis algorithms to categorise emotions discursively expressed in news articles, Center for Advanced Internet Studies
- 23.03.2023 Reframing Failure: It’s Complicated - Collaborations and Partnerships, Digital Humanities Research Hub - School of Advanced Study watch recording here
- 24.11.2022 Tutorial on webscraping for web archives, British Library
- 10.10.2022 Before, During and After: A Bilingual Temporal Sentiment Analysis of the Media Coverage of Rio and London Olympic Legacies, Digital Humanities Congress Sheffield
- 29.04.2022 The problem of missing data: Critical Practices in Humanities Research, Stanford University (CESTA) & School of Advanced Study (DHRH)
- 07.07.2021 Local, National and International aspiration: framing London’s Olympic legacy by combining multiple sources in SHINE, Documenting the Olympics and Paralympics, British Library
- 22.09.2020 Tracking and analysing media events through web archives’, Engaging with web archives conference, Maynooth University Arts and Humanities Institute