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...

Keys: Data Science, Computational Social Science, Machine Learning, Natural Language Processing, Social Media Analysis, Crisis Computing

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

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

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

, 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 ’23), 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

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

Burel, G. and Alani, H. (2018) Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media, 15th International Conference on Information Systems for Crisis Response and Management, Rochester, NY, USA

Burel, G., Saif, H. and Alani, H. (2017) Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media, 16th International Semantic Web Conference, Vienna, Austria

Burel, G., Piccolo, L., Meesters, K. and Alani, H. (2017) DoRES — A Three-tier Ontology for Modelling Crises in the Digital Age, 14th International Conference on Information Systems for Crisis Response And Management (ISCRAM), Albi, Occitanie Pyrénées-Méditerranée, France

Piccolo, L., De Liddo, A., Burel, G., Fernandez, M. and Alani, H. (2017) Collective intelligence for promoting changes in behaviour: a case study on energy conservation, AI & Society, 33, 1, pp. 15-25

Burel, G., Piccolo, L. and Alani, H. (2016) EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption, 15th International Semantic Web Conference - ISWC, Kobe, Japan, pp. 257-272

Burel, G. (2016) Community and Thread Methods for Identifying Best Answers in Online Question Answering Communities

Fernandez, M., Burel, G., Alani, H., Piccolo, L., Meili, C. and Hess, R. (2015) Analysing engagement towards the 2014 Earth Hour Campaign in Twitter, EnviroInfo &ICT4S 2015: Building the Knowledge Base for Environmental Action and Sustainability, Copenhagen, Denmark (Forthcoming)