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Paula Reyero LoboMember status icon

Marie Curie Early Stage Researcher
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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, Joseph Kwarteng, Martino Mensio, Angel Pavon Perez, Lara Piccolo, Ali Tavakoli

News

30 Jan 2024


26 Sep 2023


15 Jul 2022


26 Apr 2022


Publications

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  
Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia

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Dr Nirwan Sharma
Knowledge Media Institute, The Open University

Designing Dialogic Human-AI interfaces to further Citizen Science practice.

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