Alexa is a DPhil student in Social Data Science. Her research focuses on developing network analysis methods for understanding the structure of online disinformation.
Alexandra Paviluc is a student on the DPhil in Social Data Science.
Alexa is a DPhil student in Social Data Science. Alexa’s research on network analysis and disinformation focuses on visualization techniques that can highlight structures and strategies of computational propaganda. Her research in this field has been published by the NATO Defence Strategic Communications Journal, presented as a poster at Eurovis 2020, and has been funded by the Mozilla Foundation and Institut Montaigne, a French think tank. Prior to joining the OII in 2020, Alexa completed her MSc in Data Science at City University of London, receiving a distinction for her dissertation titled “Evaluating Temporal Network Visualisation Representations of Information Operations”. She also holds a BA in Professional Communication (Minor in Physics) from Ryerson University in Toronto, Canada, where she was a researcher and project manager in human-robot interaction and audience research labs.
Alternative News Networks – Understanding the spread and influence of disinformation, propaganda, and divisive political news content in the UK online information ecosystem
Participants: Dr Jonathan Bright, Professor Philip Howard, Dr Scott Hale, Hannah Bailey, Mona Elswah, Megha Mishra, Dr Vidya Narayanan, Marcel Schliebs, Christian Schwieter, Katarina Rebello, Ali Arsalan Pasha Siddiqui, Karolina Werens, Alexandra Pavliuc, Anna George
This project seeks to understand the health of the UK online information ecosystem, including tracking the spread of divisive and misleading content.