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Paula Reyero Lobo (Alumni) Member status icon

PhD Research Student
Paula Reyero Lobo Photograph

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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, , Lara Piccolo, Ali Tavakoli

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Publications

Reyero Lobo, P. (2025). Addressing Bias in Hate Speech Detection: Enhancing Target Group Identification with Semantics. [Thesis] https://oro.open.ac.uk/102419/.

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. In: 2024 IEEE International Conference on Big Data, 15-18 Dec 2024, Washington, DC, USA. https://oro.open.ac.uk/102425/.

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2024). Enhancing Hate Speech Annotations with Background Semantics. In: 27th European Conference on Artificial Intelligence (ECAI 2024) – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), 19-24 Oct 2024, Santiago de Compostela, Spain. https://oro.open.ac.uk/98676/.

Alvarez, J.M., Colmenarejo, A.B., Elobaid, A., Fabbrizzi, S., Fahimi, M., Ferrara, A., Ghodsi, S., Mougan, C., Papageorgiou, I., Reyero, P., Russo, M., Scott, K.M., State, L., Zhao, X. and Ruggieri, S. (2024). Policy advice and best practices on bias and fairness in AI. Ethics and Information Technology, 26 https://oro.open.ac.uk/97318/.

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. In: The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 6-9 Nov 2023, Kusadasi, Turkey. https://oro.open.ac.uk/94708/.

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2023). Knowledge-Grounded Target Group Language Recognition in Hate Speech. In: 19th International Conference on Semantic Systems, 20-22 Sep 2023, Leipzig, Germany. https://oro.open.ac.uk/92895/.

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2023). Semantic Web technologies and bias in artificial intelligence: A systematic literature review. Semantic Web, 14(4), pp. 745–770. https://oro.open.ac.uk/85070/.

Reyero Lobo, P. (2022). Bias in Hate Speech and Toxicity Detection. In: 2022 AAAI/ACM Conference on AI, Ethics, and Society, 19-21 May 2021, Oxford, United Kingdom. https://oro.open.ac.uk/84504/.

Reyero Lobo, P. and Perez, P. (2022). Heart Rate Variability for Non-Intrusive Cybersickness Detection. In: ACM International Conference on Interactive Media Experiences, Jun 2022. https://oro.open.ac.uk/83984/.

Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., Kwarteng, 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. In: Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), 6-9 Jun 2022, Atlanta, Georgia. https://oro.open.ac.uk/83210/.

Reyero Lobo, P., Daga, E. and Alani, H. (2022). Supporting Online Toxicity Detection with Knowledge Graphs. In: Sixteenth International AAAI Conference on Web and Social Media, 6-9 Jun 2022, Atlanta, Georgia. https://oro.open.ac.uk/82776/.

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