Gregoire Burel

Research Associate

I am a research associate at the Knowledge Media Institute (KMi). My work involves the development and application of machine learning techniques and social semantics for the investigation of user behaviour in different settings (e.g. answering behaviour, energy consumption habits, emerging behaviour in emergency crisis and misinformation tracking), the development of visualisation tools and platforms (e.g., and ontological models (e.g. DoRES, EUse,Veracity, Curio).

I am currently involved in the EU founded Co-Inform and HeROS projects where he is investigating if fact-checking has an impact on the spread of online misinformation.


Social Semantic Web, Machine Learning, Misinformation, User Value, Natural Language Processing, Online Communities


Burel, Grégoire, Farrell, Tracie and Alani, Harith(2021). Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter. Information Processing & Management, 58(6), article no. 102732.

Burel, Gregoire, Farrell, Tracie, Mensio, Martino, Khare, Prashant and Alani, Harith(2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.

Khare, Prashant , Burel, Gregoire and Alani, Harith(2019). Relevancy Identification Across Languages and Crisis Types. IEEE Intelligent Systems, 34(3) pp. 19–28.

Khare, Prashant , Burel, Gregoire, Maynard, Diana and Alani, Harith(2018). Cross-Lingual Classification of Crisis Data. In: The Semantic Web – ISWC 2018 (Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Lecture Notes in Computer Science, Springer, pp. 617–633.

Burel, Gregoire and Alani, Harith(2018). Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media. In: 15th International Conference on Information Systems for Crisis Response and Management, 20-23 May 2018, Rochester, NY, USA.

Khare, Prashant , Burel, Gregoire and Alani, Harith(2018). Classifying Crises-Information Relevancy with Semantics. In: ESWC 2018: Proceedings of the 15th International Conference, Lecture Notes in Computer Science, Springer, pp. 367–383.

Burel, Gregoire, Saif, Hassan and Alani, Harith(2017). Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media. In: The Semantic Web – ISWC 2017, Springer, pp. 138–155.

Burel, Gregoire, Saif, Hassan , Fernandez, Miriam and Alani, Harith(2017). On Semantics and Deep Learning for Event Detection in Crisis Situations. In: Workshop on Semantic Deep Learning (SemDeep), at ESWC 2017, 29 May 2017, Portoroz, Slovenia.

Burel, Gregoire, Piccolo, Lara S. G., Meesters, Kenny and Alani, Harith(2017). DoRES — A Three-tier Ontology for Modelling Crises in the Digital Age. In: ISCRAM 2017 Conference Proceedings, pp. 834–845.

Piccolo, Lara S. G., De Liddo, Anna, Burel, Gregoire, Fernández, Miriam and Alani, Harith(2018). Collective intelligence for promoting changes in behaviour: a case study on energy conservation. AI & Society, 33(1) pp. 15–25.