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Gregoire BurelMember status icon

Research Fellow
Gregoire Burel Photograph

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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


05 Jun 2023

09 May 2023

18 Oct 2022

16 May 2022

22 Mar 2022

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Publications | Visit External Site for Details  

Burel, G. and Alani, H. (2023) The Fact-Checking Observatory: Reporting the Co-Spread of Misinformation and Fact-checks on Social Media, HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media, Rome, Italy

Publications | Visit External Site for Details  

Mensio, M., Burel, G., Farrell, T. and Alani, H. (2023) MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts' Sharing of Misinformation, UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization, Limassol Cyprus

Publications | Visit External Site for Details  

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

Publications | Download PDF Publications | Visit External Site for Details  

Tavakoli, A., Alani, H. and Burel, G. (2023) On the Readability of Misinformation in Comparison to the Truth, Text2Story 2023, Ireland

Publications | Visit External Site for Details  

, 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 ā€™23), Evanston, TX, USA

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