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.

Reyero Lobo, P., , 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

Reyero Lobo, P., Daga, E. and Alani, H. (2022) Supporting Online Toxicity Detection with Knowledge Graphs, Sixteenth International AAAI Conference on Web and Social Media, Atlanta, Georgia

Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., , j., Fernandez, M., Daga, E. and Alani, H. (2022) Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia

Reyero Lobo, P. and Perez, P. (2022) Heart Rate Variability for Non-Intrusive Cybersickness Detection, ACM International Conference on Interactive Media Experiences

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2022) Semantic Web technologies and bias in artificial intelligence: A systematic literature review, Semantic Web, pp. (Early access), IOS Press

Reyero Lobo, P. (2021) Bias in Hate Speech and Toxicity Detection, 2022 AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom