Project overview
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.
Staff
Lead researchers
Collaborating research institutes, centres and groups
Research outputs
Loitongbam Gyanendro Singh, Stuart E. Middleton, Tayyaba Azim, Elena Nichele, Pinyi Lyu & Santiago De Ossorno Garcia,
2024
Type: conference
Bernd Carsten Stahl, Virginia Portillo, Hanne Wagner, Peter J. Craigon, Dimitrios Darzentas, Santiago De Ossorno Garcia, Liz Dowthwaite, Chris Greenhalgh, Stuart E. Middleton, Elena Nichele, Christian Wagner & Helena Webb,
2024, Journal of Responsible Innovation, 11(1)
Type: article
Daria Onitiu, Vahid Yazdanpanah, Adriane Chapman, Enrico Gerding, Stuart E. Middleton & Jennifer Williams,
2023
Type: conference
Elena Nichele, Anita Lavorgna & Stuart Middleton,
2022, SN Social Sciences, 2(10), 217
Type: article
Tayyaba Azim, Gyanendro Singh Loitongbam & Stuart Middleton,
2022
Type: conference