SafeSpacesNLP: Behaviour classification NLP in a socio-technical AI setting for online harmful behaviours for children and young people

We will explore the use of Socio-Technical Natural Language Processing (NLP) for classifying behavioural online harms within online forum posts (e.g. bullying; drugs & alcohol abuse; gendered harassment; self-harm), especially for young people.

Our socio-technical AI will explore both zero-shot and graph-based NLP algorithms for behaviour classification, using a cyclic socio-technical methodology. This approach will facilitate incremental use of human feedback for iterative learning and re-ranking, overcoming the limited training data issue and keeping a ‘human in the loop’. We follow an inclusive multi-disciplinary research approach, integrating stakeholders into our experiments from the start.

 

UCREL Corpus Research Seminar

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Project Team

Meet Our Project Team

Stuart Middleton

Lecturer in Computer Science, University of Southampton

Lead contact

Anita Lavorgna

Associate Professor in Criminology, University of Southampton

Co-investigator
Elena Nichele

Elena Nichele

Research Fellow, University of Nottingham

Co-Investigator

Tayyaba Azim

Research Fellow, University of Southampton

Research Fellow

Jeremie Clos

Research Fellow, University of Nottingham

Research Fellow
Partners

Our Project Partners

Kooth