Member
Gregoire Burel
Research Fellow
+44 (0)1908 858219
I am a research associate and data scientist at the Knowledge Media Institute (KMi) with over 10 years of experience applying Machine Learning (ML) and Natural Language Processing (NLP) techniques in domains such as misinformation detection, crisis event extraction and question answering.
I am currently investigating the spread of misinformation and fact-checks for the Co-Inform (coinform.eu) and HERoS (heros-project.eu) projects. I develop and maintain the Fact-checking Observatory (fcobservatory.org).
Over the years, my work has involved the development and application of machine learning techniques for the investigation of user behaviour in different settings (e.g. answering behaviour, energy consumption habits and emerging behaviour in emergency crises), the development of visualisation tools and platforms (e.g. energyuse.eu, Sparks Prism) and the creation of formal ontological models (e.g. DoRES, EUse,Veracity, Curio).
Keys: Data Science, Computational Social Science, Machine Learning, Natural Language Processing, Social Media Analysis, Crisis Computing
Team: Harith Alani, Tracie Farrell, Miriam Fernandez, Martino Mensio, Angel Pavon Perez, Lara Piccolo, Paula Reyero Lobo
News
05 Jun 2023
HEROS Project Concludes Final Stakeholder Conference, Showcasing Research in the Context of COVID-19
09 May 2023
18 Oct 2022
16 May 2022
22 Mar 2022
Publications
Pavon Perez, A., Fernandez, M., Al-Madfai, H., Burel, G. and Alani, H. (2023) Tracking Machine Learning Bias Creep in Traditional and Online Lending Systems with Covariance Analysis, WebSci '23: 15th ACM Web Science Conference 2023, Austin, TX, USA
Tavakoli, A., Alani, H. and Burel, G. (2023) On the Readability of Misinformation in Comparison to the Truth, Text2Story 2023, Ireland
Kwarteng, J., Farrell, T., Third, A., Burel, G. and Fernandez, M. (2023) Understanding Misogynoir: A Study of Annotators' Perspectives, 15th ACM Web Science Conference 2023 (WebSci ā23), Evanston, TX, USA
Alani, H., Burel, G. and Farrell, T. (2022) Elon Musk could roll back social media moderation - just as we're learning how it can stop misinformation
Burel, G., Farrell, T. and Alani, H. (2021) Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter
