PhD. Researcher under the Marie Sklodowska-Curie Innovative Training Networks (ITN) programme. She is part of the Social Data Science group and researcher at the "NoBIAS- Artificial Intelligence without Bias" project.

Her PhD research focuses on developing novel techniques leveraging Semantic Web technologies to understand better and mitigate bias in hate speech detection.

Team: Harith Alani, Vaclav Bayer, Gregoire Burel, Enrico Daga, Tracie Farrell, Miriam Fernandez, , Martino Mensio, Angel Pavon Perez, Lara Piccolo, Ali Tavakoli

Zhao, X., Fabbrizzi, S., Reyero Lobo, P., Ghodsi, S., Broelemann, K., Staab, S. and Kasneci, G. (2024) Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity, 2024 IEEE International Conference on Big Data, Washington, DC, USA

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2024) Enhancing Hate Speech Annotations with Background Semantics, 27th European Conference on Artificial Intelligence (ECAI 2024) – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Santiago de Compostela, Spain

Reyero Lobo, P., Kwarteng, J., Russo, M., Fahimi, M., Scott, K., Ferrara, A., Sen, I. and Fernandez, M. (2023) A Multidisciplinary Lens of Bias in Hate Speech, The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2023) Knowledge-Grounded Target Group Language Recognition in Hate Speech, 19th International Conference on Semantic Systems, Leipzig, Germany

Reyero Lobo, P. (2023) Hybrid-based Target Group Language Recognition in Hate Speech