Gregoire BurelResearch Associate
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
18 Oct 2022
16 May 2022
22 Mar 2022
09 Mar 2022
25 Nov 2021
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
Burel, G., Farrell, T., Mensio, M., Khare, P. and Alani, H. (2020) Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic, Proceedings of the 12th International Social Informatics Conference (SocInfo), Pisa, Italy
Khare, P., Burel, G. and Alani, H. (2019) Relevancy Identification Across Languages and Crisis Types Relevancy Identification Across Languages and Crisis Types, 34, pp. 19-28
Khare, P., Burel, G. and Alani, H. (2018) Classifying Crises-Information Relevancy with Semantics, Extended Semantic Web Conference (ESWC) 2018, Heraklion, Crete